Triple
T22710175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LispWorks |
E561570
|
entity |
| Predicate | previousDeveloper |
P97
|
FINISHED |
| Object |
Xanalys
Xanalys is a software company known for its work in advanced analytics and investigative case management tools.
|
E1550242
|
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: Xanalys | Statement: [LispWorks, previousDeveloper, Xanalys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanalys Context triple: [LispWorks, previousDeveloper, Xanalys]
-
A.
Analytika protera
Analytika protera is Aristotle’s foundational treatise on syllogistic logic and deductive reasoning, forming a core part of his Organon.
-
B.
Tandanus
Tandanus is a genus of freshwater eeltail catfishes native to Australia, known for their elongated bodies and barbels.
-
C.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
D.
Ebixa
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
-
E.
Analytica Priora
Analytica Priora is Aristotle’s foundational treatise on syllogistic logic, in which he systematically analyzes deductive reasoning and formal argument structures.
- 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: Xanalys Triple: [LispWorks, previousDeveloper, Xanalys]
Generated description
Xanalys is a software company known for its work in advanced analytics and investigative case management tools.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xanalys Target entity description: Xanalys is a software company known for its work in advanced analytics and investigative case management tools.
-
A.
Analytika protera
Analytika protera is Aristotle’s foundational treatise on syllogistic logic and deductive reasoning, forming a core part of his Organon.
-
B.
Tandanus
Tandanus is a genus of freshwater eeltail catfishes native to Australia, known for their elongated bodies and barbels.
-
C.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
D.
Ebixa
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
-
E.
Analytica Priora
Analytica Priora is Aristotle’s foundational treatise on syllogistic logic, in which he systematically analyzes deductive reasoning and formal argument structures.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178d1e24881909ebd4531c0daef7f |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed9cb908190b50dd5297ca2d17c |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b7fbb53388190b0942c28b5748c60 |
completed | May 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b806b4e1481909babc97a8914947a |
completed | May 18, 2026, 9:11 p.m. |
Created at: April 17, 2026, 3:17 p.m.