Triple

T22612501
Position Surface form Disambiguated ID Type / Status
Subject Patricia Gaul E566747 entity
Predicate notableWork P4 FINISHED
Object Silverado 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: Silverado | Statement: [Patricia Gaul, notableWork, Silverado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silverado
Context triple: [Patricia Gaul, notableWork, Silverado]
  • A. Silverado chosen
    Silverado is a 1985 ensemble Western film directed and co-written by Lawrence Kasdan, known for revitalizing the classic Hollywood Western with a modern, adventurous tone.
  • B. Power Wagon
    The Power Wagon is a heavy-duty off-road–focused pickup truck variant known for its rugged capability, factory lift, locking differentials, and integrated winch.
  • C. Steiger
    Steiger is the surname of Rod Steiger, the American actor renowned for his intense, character-driven performances in films such as "On the Waterfront" and "In the Heat of the Night."
  • D. The Mack
    The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
  • E. Trail Blazer
    Trail Blazer was a famous streamlined all-coach passenger train operated by the Pennsylvania Railroad between New York and Chicago in the mid-20th century.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:57 p.m.