Triple

T19546199
Position Surface form Disambiguated ID Type / Status
Subject House Peters Jr. E489055 entity
Predicate notableWork P4 FINISHED
Object The Cisco Kid 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: The Cisco Kid | Statement: [House Peters Jr., notableWork, The Cisco Kid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Cisco Kid
Context triple: [House Peters Jr., notableWork, The Cisco Kid]
  • A. The Oklahoma Kid
    The Oklahoma Kid is a 1939 Western film starring James Cagney as a fast-drawing drifter who clashes with corrupt town leaders on the American frontier.
  • B. The Cisco Kid Returns chosen
    The Cisco Kid Returns is a 1945 Western film starring George Montgomery as the charming outlaw hero Cisco Kid in a classic adventure of justice and romance.
  • C. The Cheyenne Kid
    The Cheyenne Kid is a Western film starring American actor Tom Keene, known for his roles in classic B-movie cowboy adventures.
  • D. The Tonto Kid
    The Tonto Kid is a 1930s American Western film featuring actress Joan Barclay in its cast.
  • E. Wagon Wheel Joe
    Wagon Wheel Joe is the nickname of Joseph H. Lewis, an American film director best known for his inventive visual style in low-budget B movies and film noir.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63876bacc8190b17e2087de679785 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.