Triple

T3358
Position Surface form Disambiguated ID Type / Status
Subject Time Person of the Year E63 entity
Predicate alsoKnownAs P39 FINISHED
Object Woman of the Year E63 NE FINISHED

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: Woman of the Year | Statement: [Time Person of the Year, alsoKnownAs, Woman of the Year]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woman of the Year
Context triple: [Time Person of the Year, alsoKnownAs, Woman of the Year]
  • A. Celeste Holm
    Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
  • B. I Love You, California
    "I Love You, California" is a patriotic song celebrating the landscapes and spirit of California, officially adopted as the state's song.
  • C. Time Person of the Year chosen
    Time Person of the Year is an annual recognition by Time magazine given to an individual, group, or concept that has had the most significant impact on world events during the year.
  • D. Hollywood
    Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • E. Mystic River
    Mystic River is a tidal estuary in the Greater Boston area of Massachusetts, historically significant for shipbuilding and industrial activity along its banks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a2399c646c8190b4977ed56b8835a8 completed Feb. 28, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69a243c57fe481909b6c1b8f41757f96 completed Feb. 28, 2026, 1:24 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.