Triple
T8916250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippocrates |
E212302
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Prognostics
Prognostics is an ancient medical treatise traditionally attributed to Hippocrates that focuses on predicting the course and outcome of diseases based on clinical signs.
|
E766844
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Prognostics | Statement: [Hippocrates, notableWork, Prognostics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prognostics Context triple: [Hippocrates, notableWork, Prognostics]
-
A.
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
The Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems is a scholarly ASME publication focused on research and advances in noninvasive inspection, condition monitoring, and predictive maintenance of engineering structures and systems.
-
B.
PredictionEngine
PredictionEngine is an ML.NET API component that provides a simple, strongly typed interface for making single-record predictions with trained machine learning models in .NET applications.
-
C.
Prior Analytics
Prior Analytics is Aristotle’s foundational treatise on formal logic, in which he systematically develops the theory of syllogistic reasoning.
-
D.
Failure Mode and Effects Analysis
Failure Mode and Effects Analysis is a systematic, proactive method for identifying potential failures in a process, product, or system and evaluating their causes and effects to prioritize and mitigate risk.
-
E.
Prediction and Regulation by Linear Least-Square Methods
"Prediction and Regulation by Linear Least-Square Methods" is a foundational monograph in stochastic control and time-series analysis that systematically develops linear least-squares techniques for prediction, filtering, and optimal regulation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prognostics Triple: [Hippocrates, notableWork, Prognostics]
Generated description
Prognostics is an ancient medical treatise traditionally attributed to Hippocrates that focuses on predicting the course and outcome of diseases based on clinical signs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prognostics Target entity description: Prognostics is an ancient medical treatise traditionally attributed to Hippocrates that focuses on predicting the course and outcome of diseases based on clinical signs.
-
A.
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
The Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems is a scholarly ASME publication focused on research and advances in noninvasive inspection, condition monitoring, and predictive maintenance of engineering structures and systems.
-
B.
PredictionEngine
PredictionEngine is an ML.NET API component that provides a simple, strongly typed interface for making single-record predictions with trained machine learning models in .NET applications.
-
C.
Prior Analytics
Prior Analytics is Aristotle’s foundational treatise on formal logic, in which he systematically develops the theory of syllogistic reasoning.
-
D.
Failure Mode and Effects Analysis
Failure Mode and Effects Analysis is a systematic, proactive method for identifying potential failures in a process, product, or system and evaluating their causes and effects to prioritize and mitigate risk.
-
E.
Prediction and Regulation by Linear Least-Square Methods
"Prediction and Regulation by Linear Least-Square Methods" is a foundational monograph in stochastic control and time-series analysis that systematically develops linear least-squares techniques for prediction, filtering, and optimal regulation.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6610cd48819090a184c5f9465626 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4567a88190855b964bc6e3ac6f |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbb0db6848190a375196a021d1bb9 |
completed | April 3, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbf7f551c819089830d16fe55599e |
completed | April 3, 2026, 1:24 p.m. |
Created at: March 30, 2026, 6:56 p.m.