Triple
T29709875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Actor – Tamil |
E751748
|
entity |
| Predicate | hasCategoryInSameEvent |
P10511
|
FINISHED |
| Object | Filmfare Award for Best Actress – Tamil |
—
|
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: Filmfare Award for Best Actress – Tamil | Statement: [Filmfare Award for Best Actor – Tamil, hasCategoryInSameEvent, Filmfare Award for Best Actress – Tamil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCategoryInSameEvent Context triple: [Filmfare Award for Best Actor – Tamil, hasCategoryInSameEvent, Filmfare Award for Best Actress – Tamil]
-
A.
hasCategoryWithinSameAwards
chosen
Indicates that two awards share at least one category within the same award event or series.
-
B.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
C.
hasCompanionEvent
Indicates that one event is associated with another event that occurs alongside it as a related or accompanying occurrence.
-
D.
eventInConflict
Indicates that an event occurs within, is part of, or is directly associated with a specific conflict.
-
E.
hasCoSanctionedEventWith
Indicates that two or more entities have jointly imposed or participated in the same sanction-related event or action.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 28, 2026, 7:30 p.m.