Triple
T32647310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd Golden Globe Awards |
E834628
|
entity |
| Predicate | bestActorMiniseriesOrTelevisionFilmWork |
P8115
|
FINISHED |
| Object | Show Me a Hero |
—
|
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: Show Me a Hero | Statement: [73rd Golden Globe Awards, bestActorMiniseriesOrTelevisionFilmWork, Show Me a Hero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestActorMiniseriesOrTelevisionFilmWork Context triple: [73rd Golden Globe Awards, bestActorMiniseriesOrTelevisionFilmWork, Show Me a Hero]
-
A.
bestMiniseriesOrTelevisionFilmWinner
Indicates that the subject is the work that won the award for best miniseries or television film in a given context or ceremony.
-
B.
bestSupportingActorSeriesMiniseriesOrTelevisionFilm
Indicates that an entity received the award for Best Supporting Actor in a television series, miniseries, or television film.
-
C.
bestActorWinner
chosen
Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
-
D.
bestSupportingActressSeriesMiniseriesOrTelevisionFilmWork
Indicates that a person received the Best Supporting Actress award for a role in a television series, miniseries, or television film for a specific work.
-
E.
bestActorMotionPictureDramaWork
Indicates that a person received the award for best actor in a motion picture drama for a specific work.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:07 a.m.