Triple
T499203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Single Man |
E10361
|
entity |
| Predicate | goldenGlobeNomination |
P14419
|
FINISHED |
| Object | Golden Globe Award for Best Actor in a Motion Picture – Drama |
E12667
|
NE FINISHED |
How this triple was built (3 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: Golden Globe Award for Best Actor in a Motion Picture – Drama | Statement: [A Single Man, goldenGlobeNomination, Golden Globe Award for Best Actor in a Motion Picture – Drama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Globe Award for Best Actor in a Motion Picture – Drama Context triple: [A Single Man, goldenGlobeNomination, Golden Globe Award for Best Actor in a Motion Picture – Drama]
-
A.
Golden Globe Award for Best Actor in a Motion Picture – Drama
chosen
The Golden Globe Award for Best Actor in a Motion Picture – Drama is a prestigious annual honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by male actors in dramatic films.
-
B.
Golden Globe Award for Best Actress – Motion Picture Drama
The Golden Globe Award for Best Actress – Motion Picture Drama is a major annual film honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by actresses in dramatic feature films.
-
C.
Golden Globe Award for Best Supporting Actor – Motion Picture
The Golden Globe Award for Best Supporting Actor – Motion Picture is a major film industry honor presented annually by the Hollywood Foreign Press Association to recognize outstanding supporting performances by male actors in motion pictures.
-
D.
Golden Globe Award for Best Actor – Motion Picture Musical or Comedy
The Golden Globe Award for Best Actor – Motion Picture Musical or Comedy is a prestigious annual honor presented by the Hollywood Foreign Press Association to recognize outstanding lead performances by male actors in comedic or musical films.
-
E.
Golden Globe Award for Best Supporting Actress – Motion Picture
The Golden Globe Award for Best Supporting Actress – Motion Picture is a major film industry honor presented annually by the Hollywood Foreign Press Association to recognize outstanding supporting performances by actresses in motion pictures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldenGlobeNomination Context triple: [A Single Man, goldenGlobeNomination, Golden Globe Award for Best Actor in a Motion Picture – Drama]
-
A.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
B.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
C.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
-
D.
academyAwardForBestActress
Indicates that an entity received the Academy Award for Best Actress in a leading role.
-
E.
bestActorWinner
Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
- F. None of above. chosen
Provenance (5 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc8df9708190976967ad4e45a597 |
completed | March 2, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.