Triple
T35453089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aditya Sood |
E1024690
|
entity |
| Predicate | roleInCocaineBear |
P203242
|
FINISHED |
| Object | producer |
—
|
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: producer | Statement: [Aditya Sood, roleInCocaineBear, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCocaineBear Context triple: [Aditya Sood, roleInCocaineBear, producer]
-
A.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
B.
roleInBeastsOfNoNation
Indicates that an entity has a role or participation in the film "Beasts of No Nation."
-
C.
roleInICE
Indicates that an entity holds a specific role or function within an ICE (Immigration and Customs Enforcement) context or organization.
-
D.
roleInKickAss2
Indicates that an entity has a role or appearance in the movie "Kick-Ass 2."
-
E.
roleInOperationJustCause
Indicates that an entity participated in or held a specific role during Operation Just Cause.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01416f8a8c8190abc12f68bd23dcc3 |
completed | May 11, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_6a013f3bc2e48190a51ec2707bbdd474 |
completed | May 11, 2026, 2:30 a.m. |
| PDg | Predicate description generation | batch_6a01416eb9588190ad74541d0640a4ba |
completed | May 11, 2026, 2:39 a.m. |
Created at: May 3, 2026, 4:04 p.m.