Triple
T32647303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd Golden Globe Awards |
E834628
|
entity |
| Predicate | bestActressTelevisionSeriesDramaWork |
P177376
|
FINISHED |
| Object | Empire |
—
|
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: Empire | Statement: [73rd Golden Globe Awards, bestActressTelevisionSeriesDramaWork, Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestActressTelevisionSeriesDramaWork Context triple: [73rd Golden Globe Awards, bestActressTelevisionSeriesDramaWork, Empire]
-
A.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
B.
bestActressWinnerWork
Indicates the work (such as a film or performance) for which a person received a Best Actress award.
-
C.
bestActressMotionPictureDramaWork
Indicates that a work is associated with winning or being awarded the Best Actress in a Motion Picture – Drama honor.
-
D.
bestActressWinner
Indicates that the subject has won the Best Actress award in a given competition or context.
-
E.
academyAwardForBestActress
Indicates that an entity received the Academy Award for Best Actress in a leading role.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:07 a.m.