Triple
T28742098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandita Das |
E731270
|
entity |
| Predicate | wasJuryMemberOf |
P165280
|
FINISHED |
| Object | Cannes Film Festival |
—
|
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: Cannes Film Festival | Statement: [Nandita Das, wasJuryMemberOf, Cannes Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasJuryMemberOf Context triple: [Nandita Das, wasJuryMemberOf, Cannes Film Festival]
-
A.
hasJuror
Indicates that a person or legal body is assigned or associated with a specific juror in a judicial context.
-
B.
workedAsJudgeOn
Indicates that a person served in the role of a judge in connection with a particular case, court, or judicial proceeding.
-
C.
juryProvidedBy
Indicates that a particular jury is supplied, appointed, or made available by a specified source or authority.
-
D.
hasJurors
Indicates that one entity serves as or includes jurors in relation to another entity, typically in the context of a legal case or proceeding.
-
E.
usesJury
Indicates that a legal proceeding or decision-making process is conducted with the participation of a jury.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657b453548190ab10f8cfa45974dd |
completed | May 2, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 6:03 a.m.