Triple
T30498339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Callan |
E776066
|
entity |
| Predicate | characterLeaderOf |
P195773
|
FINISHED |
| Object | Jets gang in West Side Story |
—
|
NE NERFINISHED |
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: Jets gang in West Side Story | Statement: [Michael Callan, characterLeaderOf, Jets gang in West Side Story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterLeaderOf Context triple: [Michael Callan, characterLeaderOf, Jets gang in West Side Story]
-
A.
territorialLeaderOf
Indicates that one entity serves as the governing authority or leader over a specified territory or geographic area.
-
B.
raceLeaderOf
Indicates that one entity is the leading competitor in a race or competition involving another entity.
-
C.
politicalLeaderAssociatedWith
Indicates that a political leader has an official or notable association with a particular entity, such as an organization, region, or political body.
-
D.
chiefLieutenantOf
Indicates that one person serves as the primary subordinate or top-ranking assistant to another leader or authority figure.
-
E.
countryLeaderOf
Indicates that one entity serves as the head of state or government of the specified country.
- F. None of above. chosen
Provenance (4 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: April 29, 2026, 8:14 p.m.