Triple
T32647301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd Golden Globe Awards |
E834628
|
entity |
| Predicate | bestActorTelevisionSeriesDramaWork |
P8115
|
FINISHED |
| Object | Mad Men |
—
|
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: Mad Men | Statement: [73rd Golden Globe Awards, bestActorTelevisionSeriesDramaWork, Mad Men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestActorTelevisionSeriesDramaWork Context triple: [73rd Golden Globe Awards, bestActorTelevisionSeriesDramaWork, Mad Men]
-
A.
bestActorMotionPictureDramaWork
Indicates that a person received the award for best actor in a motion picture drama for a specific work.
-
B.
bestTelevisionSeriesDramaWinner
Indicates that an entity is the winner of the Best Television Series – Drama award for a given year or awarding event.
-
C.
bestActorWinner
chosen
Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
-
D.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
E.
bestMiniseriesOrTelevisionFilmWinner
Indicates that the subject is the work that won the award for best miniseries or television film in a given context or ceremony.
- 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_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:07 a.m.