Triple

T9836634
Position Surface form Disambiguated ID Type / Status
Subject Rio Bravo (1959 film) E239117 entity
Predicate portrayedBy P1507 FINISHED
Object Ward Bond E153167 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: Ward Bond | Statement: [Rio Bravo (1959 film), portrayedBy, Ward Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ward Bond
Context triple: [Rio Bravo (1959 film), portrayedBy, Ward Bond]
  • A. Ward Bond chosen
    Ward Bond was an American character actor best known for his prolific work in classic Hollywood films and the television series "Wagon Train."
  • B. Roy Homard
    Roy Homard was an explorer best known for his role in the historic Commonwealth Trans-Antarctic Expedition, which achieved the first overland crossing of Antarctica.
  • C. Floyd Dell
    Floyd Dell was an American writer, critic, and prominent figure in early 20th-century literary radicalism and bohemian culture.
  • D. Irving Cummings
    Irving Cummings was an American film director and actor active during the early to mid-20th century, known for directing numerous Hollywood features including musicals and comedies.
  • E. William Langer
    William Langer was a prominent American politician who served as both governor of North Dakota and a U.S. senator in the mid-20th century.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d4079048190976eb198f8ef62f0 completed April 5, 2026, 7:20 a.m.
Created at: March 30, 2026, 8:33 p.m.