Triple

T4725005
Position Surface form Disambiguated ID Type / Status
Subject Dean Martin E104860 entity
Predicate notableWork P4 FINISHED
Object Rio Bravo E54656 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: Rio Bravo | Statement: [Dean Martin, notableWork, Rio Bravo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Bravo
Context triple: [Dean Martin, 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. Mid Yell
    Mid Yell is the main village and administrative hub on the island of Yell in the Shetland Islands, Scotland.
  • C. The Lone Star
    The Lone Star is a popular nickname for the national flag of Chile, highlighting its single prominent white star on a blue field.
  • D. The Eyes of Texas
    "The Eyes of Texas" is a traditional anthem closely associated with the University of Texas at Austin, widely recognized as a central part of Longhorns sports and school spirit.
  • E. El Caney
    El Caney is a village near Santiago de Cuba that was the site of a major and fiercely contested battle during the Spanish–American 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64456a6c8190b658216b62ef82cf completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be109c67648190ba9bda7fc5cb3dd1 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.