Triple

T15227569
Position Surface form Disambiguated ID Type / Status
Subject Son of Schmilsson E363913 entity
Predicate hasTrack P3284 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: [Son of Schmilsson, hasTrack, Ambush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambush
Context triple: [Son of Schmilsson, hasTrack, 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. In Ambush
    "In Ambush" is one of the schoolboy adventure stories in Rudyard Kipling's collection *Stalky & Co.*, featuring the mischievous exploits of the trio Stalky, M'Turk, and Beetle.
  • C. L’Assaut
    L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
  • D. 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.
  • E. 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.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd379ac081909ebb3a18c2ee3b3c completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.