Triple

T18958363
Position Surface form Disambiguated ID Type / Status
Subject Dino Paul Crocetti E463841 entity
Predicate notableWork P4 FINISHED
Object Rio Bravo 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: Rio Bravo | Statement: [Dino Paul Crocetti, notableWork, Rio Bravo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Bravo
Context triple: [Dino Paul Crocetti, notableWork, Rio Bravo]
  • A. Rio Bravo chosen
    "Rio Bravo" is a classic 1959 American Western film directed by Howard Hawks, starring John Wayne, Dean Martin, and Ricky Nelson as a young gunslinger.
  • B. Rio Bravo, Texas
    Rio Bravo, Texas is a small border city in Webb County, Texas, located along the Rio Grande near Laredo.
  • C. Cut and Shoot, Texas
    Cut and Shoot, Texas is a small, historically rural community in eastern Montgomery County known for its unusual name and close proximity to Conroe.
  • D. The Concho City
    The Concho City is a nickname for San Angelo, Texas, reflecting its historic ties to the Concho River and regional ranching and agricultural heritage.
  • E. Mid Yell
    Mid Yell is the main village and administrative hub on the island of Yell in the Shetland Islands, Scotland.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon