Triple
T16648713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Act Tragedy |
E404543
|
entity |
| Predicate | hasInvestigationMethod |
P22717
|
FINISHED |
| Object | logical deduction |
—
|
LITERAL FINISHED |
How this triple was built (2 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: logical deduction | Statement: [Three Act Tragedy, hasInvestigationMethod, logical deduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestigationMethod Context triple: [Three Act Tragedy, hasInvestigationMethod, logical deduction]
-
A.
hasObservationMethod
Indicates that a particular method, technique, or procedure is used to perform or obtain an observation.
-
B.
containsInvestigationOf
Indicates that one entity includes or encompasses an investigation or inquiry concerning another entity.
-
C.
usesInvestigativeMethods
chosen
Indicates that an entity employs investigative techniques or procedures to gather information, analyze evidence, or uncover facts.
-
D.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
E.
hasInvestigationTrigger
Indicates that one entity serves as the cause, condition, or event that initiates or justifies an investigation into another entity.
- F. None of above.
Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad794388190b2817d2ec5ff0de0 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.