Triple

T32647309
Position Surface form Disambiguated ID Type / Status
Subject 73rd Golden Globe Awards E834628 entity
Predicate bestActorMiniseriesOrTelevisionFilm P8115 FINISHED
Object Oscar Isaac 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: Oscar Isaac | Statement: [73rd Golden Globe Awards, bestActorMiniseriesOrTelevisionFilm, Oscar Isaac]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestActorMiniseriesOrTelevisionFilm
Context triple: [73rd Golden Globe Awards, bestActorMiniseriesOrTelevisionFilm, Oscar Isaac]
  • A. bestSupportingActorSeriesMiniseriesOrTelevisionFilm
    Indicates that an entity received the award for Best Supporting Actor in a television series, miniseries, or television film.
  • B. bestActorWinner chosen
    Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
  • C. bestMiniseriesOrTelevisionFilmWinner
    Indicates that the subject is the work that won the award for best miniseries or television film in a given context or ceremony.
  • 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_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:07 a.m.