Triple

T9789350
Position Surface form Disambiguated ID Type / Status
Subject Young Guns E237567 entity
Predicate starredActor P5563 FINISHED
Object Jack Palance E144106 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: Jack Palance | Statement: [Young Guns, starredActor, Jack Palance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Palance
Context triple: [Young Guns, starredActor, Jack Palance]
  • A. Jack Palance chosen
    Jack Palance was an American actor known for his intense, rugged screen presence and memorable roles in films such as "Shane" and "City Slickers."
  • B. Brooke Palance
    Brooke Palance is an American actress and the daughter of Academy Award–winning actor Jack Palance.
  • C. Otto Hunte
    Otto Hunte was a prominent German film art director and production designer best known for his influential work on classic Weimar-era films, including Fritz Lang’s Metropolis.
  • D. Pat Hingle
    Pat Hingle was an American character actor known for his authoritative supporting roles in film, television, and theater, including his portrayal of Commissioner Gordon in the Batman film series.
  • E. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5abb26c81909d597b65f24f9bcf completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:27 p.m.