Triple

T14349072
Position Surface form Disambiguated ID Type / Status
Subject The Offer E355803 entity
Predicate developer P73 FINISHED
Object Leslie Greif E569707 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: Leslie Greif | Statement: [The Offer, developer, Leslie Greif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Greif
Context triple: [The Offer, developer, Leslie Greif]
  • A. Leslie Greif chosen
    Leslie Greif is an American television producer and director best known for creating and producing popular series and miniseries across action, drama, and true-crime genres.
  • B. Seryl Kushner
    Seryl Kushner is an American businesswoman and matriarch of the Kushner family, best known as the mother of real estate investor and former presidential advisor Jared Kushner.
  • C. Morleigh Steinberg
    Morleigh Steinberg is an American modern dancer, choreographer, and filmmaker known for her work with the dance company MOMIX and her long-term creative and personal partnership with U2 guitarist The Edge.
  • D. Bennett Yellin
    Bennett Yellin is an American screenwriter best known for co-writing the hit comedy film "Dumb and Dumber."
  • E. June Preisser
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11c81f481909129eef69e47d079 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:14 a.m.