Triple
T35520533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd British Academy Film Awards |
E1026538
|
entity |
| Predicate | baftaFellowshipRecipient |
P183200
|
FINISHED |
| Object | Kathleen Kennedy |
—
|
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: Kathleen Kennedy | Statement: [73rd British Academy Film Awards, baftaFellowshipRecipient, Kathleen Kennedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baftaFellowshipRecipient Context triple: [73rd British Academy Film Awards, baftaFellowshipRecipient, Kathleen Kennedy]
-
A.
baftaAward
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
B.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
-
C.
tonyAwardsWonFor
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
D.
baftaCategory
Indicates the specific BAFTA award category in which an entity (such as a film, show, or person) is nominated or recognized.
-
E.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.