Triple

T16164101
Position Surface form Disambiguated ID Type / Status
Subject John Irvin E392254 entity
Predicate directed P7373 FINISHED
Object Raw Deal E607160 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: Raw Deal | Statement: [John Irvin, directed, Raw Deal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raw Deal
Context triple: [John Irvin, directed, Raw Deal]
  • A. Raw Deal
    Raw Deal is a 1986 action film starring Arnold Schwarzenegger as an ex-FBI agent seeking revenge against the mob.
  • B. Raw Deal chosen
    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. 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.
  • D. 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.
  • E. Big Deal
    Big Deal is a track featured on Jimi Hendrix’s posthumous compilation album "Purple Haze 2."
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e622ae481909f3cf25b38886d3a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef96a088190a1c1728288a9c4ef completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.