Triple

T5590843
Position Surface form Disambiguated ID Type / Status
Subject In & Out E146871 entity
Predicate awardNominationReceivedBy P25708 FINISHED
Object Joan Cusack – Academy Award for Best Supporting Actress E237534 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: Joan Cusack – Academy Award for Best Supporting Actress | Statement: [In & Out, awardNominationReceivedBy, Joan Cusack – Academy Award for Best Supporting Actress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Cusack – Academy Award for Best Supporting Actress
Context triple: [In & Out, awardNominationReceivedBy, Joan Cusack – Academy Award for Best Supporting Actress]
  • A. Joan Cusack chosen
    Joan Cusack is an American actress and comedian known for her distinctive voice and acclaimed roles in both film and television, including her portrayal of Jessie in the Toy Story franchise.
  • B. Ann Cusack
    Ann Cusack is an American character actress known for her supporting roles in film and television, often appearing in comedies and dramas alongside her siblings John and Joan Cusack.
  • C. Helen Hunt
    Helen Hunt is an American actress and filmmaker best known for her Emmy-winning role on the sitcom "Mad About You" and her Academy Award-winning performance in the film "As Good as It Gets."
  • D. Catherine Keener
    Catherine Keener is an American actress known for her nuanced supporting and character roles in acclaimed films such as "Being John Malkovich," "Capote," and "Get Out."
  • E. Debra Winger
    Debra Winger is an American actress acclaimed for her intense, emotionally rich performances in films such as "An Officer and a Gentleman," "Terms of Endearment," and "Shadowlands."
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a1d4cc8190a52264dfba6aa011 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286852148190ad4975fe746d7001 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.