Triple

T11345559
Position Surface form Disambiguated ID Type / Status
Subject Mandy Patinkin E268702 entity
Predicate notableWork P4 FINISHED
Object Yentl E125958 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: Yentl | Statement: [Mandy Patinkin, notableWork, Yentl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yentl
Context triple: [Mandy Patinkin, notableWork, Yentl]
  • A. Yentl (1983 film) chosen
    Yentl (1983 film) is a musical drama directed by and starring Barbra Streisand, about a young Jewish woman in early 20th-century Eastern Europe who disguises herself as a man to pursue religious education.
  • B. Written on the Wind
    Written on the Wind is a 1956 Technicolor melodrama directed by Douglas Sirk, renowned for its lush visual style and emotionally charged tale of a wealthy Texas oil family’s turmoil.
  • C. Gilda
    Gilda is a classic 1946 American film noir starring Rita Hayworth in one of her most iconic roles.
  • D. Gilda
    Gilda is the witty, free-spirited woman at the center of Noël Coward’s play "Design for Living," entangled in a complex romantic triangle.
  • E. National Velvet
    National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5436e9d848190a7e585351d24df03 completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.