Triple

T11050071
Position Surface form Disambiguated ID Type / Status
Subject Rudy E261221 entity
Predicate starring P1507 FINISHED
Object Robert Prosky E517152 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: Robert Prosky | Statement: [Rudy, starring, Robert Prosky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Prosky
Context triple: [Rudy, starring, Robert Prosky]
  • A. Robert Prosky chosen
    Robert Prosky was an American character actor known for his warm, authoritative presence in film, television, and theater, with notable roles in works like "Hill Street Blues," "Broadcast News," and numerous stage productions.
  • B. John Grono
    John Grono was a Welsh-born Australian sealer, shipbuilder, and explorer active in the early 19th century, noted for his voyages around New Zealand and the naming of several coastal features.
  • C. Michael Siberry
    Michael Siberry is an Australian actor known for his work in theatre, television, and film, including roles in British and American productions.
  • D. Gregg Turkington
    Gregg Turkington is an American comedian, actor, and writer best known for his abrasive anti-comedy persona Neil Hamburger and his work on projects like "On Cinema."
  • E. Greg Morrisett
    Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c851d5408190b12250a2a1322874 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.