Triple

T6924832
Position Surface form Disambiguated ID Type / Status
Subject John Hodiak E160277 entity
Predicate performedIn P795 FINISHED
Object Ambush E629768 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: Ambush | Statement: [John Hodiak, performedIn, Ambush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambush
Context triple: [John Hodiak, performedIn, Ambush]
  • A. Ambush chosen
    "Ambush" is a 1950 American Western film starring Robert Taylor and John Hodiak, centered on a cavalry mission to rescue a woman kidnapped by Apaches.
  • B. L’Assaut
    L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
  • C. The War Zone
    The War Zone is a 1999 British drama film, adapted from Alexander Stuart’s novel, that starkly explores familial abuse and trauma.
  • D. Guardia de Asalto
    The Guardia de Asalto was a Spanish Republican-era urban police and paramilitary force known for its role in maintaining public order and later fighting on the Republican side during the Spanish Civil War.
  • E. Blitz
    Blitz is the Seattle Seahawks’ official blue and green anthropomorphic bird mascot who entertains fans at games and team events.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75859735081909382f1542271a1e4 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:26 p.m.