Triple

T3898720
Position Surface form Disambiguated ID Type / Status
Subject Come and Get It E90433 entity
Predicate hasCastMember P2308 FINISHED
Object Mary Nash E408999 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: Mary Nash | Statement: [Come and Get It, hasCastMember, Mary Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Nash
Context triple: [Come and Get It, hasCastMember, Mary Nash]
  • A. Mary Nash chosen
    Mary Nash was an American character actress known for her supporting roles in classic Hollywood films of the 1930s and 1940s.
  • B. Alicia Nash
    Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
  • C. Nell Jones
    Nell Jones is an intelligence analyst and tech specialist on the television series "NCIS: Los Angeles," known for her sharp analytical skills and quirky personality.
  • D. Myra Belisle
    Myra Belisle is the daughter of Abraham Zapruder, the amateur cameraman whose film famously captured the assassination of U.S. President John F. Kennedy.
  • E. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f0ebb588190bb7a935e066f9e4b completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:21 p.m.