Triple

T21898086
Position Surface form Disambiguated ID Type / Status
Subject Martha De Laurentiis E540732 entity
Predicate notableWork P4 FINISHED
Object Raw Deal NE NERFINISHED

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: Raw Deal | Statement: [Martha De Laurentiis, notableWork, Raw Deal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raw Deal
Context triple: [Martha De Laurentiis, notableWork, Raw Deal]
  • A. Raw Deal chosen
    Raw Deal is a 1986 action film starring Arnold Schwarzenegger as an ex-FBI agent seeking revenge against the mob.
  • B. Raw Deal
    Raw Deal is a 1948 film noir crime drama directed by Anthony Mann, noted for its dark visual style and bleak, hard-edged storytelling.
  • C. Double Deal
    Double Deal is an Australian film featuring actress Angela Punch McGregor in a prominent role.
  • D. When the Deal Goes Down
    "When the Deal Goes Down" is a reflective, folk-influenced song by Bob Dylan, noted for its nostalgic, contemplative lyrics and traditional melodic style.
  • E. The Deal
    The Deal is a British television drama film written by Peter Morgan that chronicles the political rise and power-sharing agreement between Tony Blair and Gordon Brown within the Labour Party.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc7c70c81908b9bb4de68616e41 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.