Triple

T11715286
Position Surface form Disambiguated ID Type / Status
Subject Nancy Allen E278479 entity
Predicate coStarredWith P14987 FINISHED
Object Peter Weller E133943 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: Peter Weller | Statement: [Nancy Allen, coStarredWith, Peter Weller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Weller
Context triple: [Nancy Allen, coStarredWith, Peter Weller]
  • A. Peter Weller chosen
    Peter Weller is an American actor and director best known for his iconic role as the title character in the "RoboCop" films and for numerous appearances in science fiction and television.
  • B. Tim Matheson
    Tim Matheson is an American actor and director best known for his roles in films like "National Lampoon's Animal House" and numerous television series.
  • C. Michael Biehn
    Michael Biehn is an American actor best known for his roles in science fiction and action films such as The Terminator, Aliens, and The Abyss.
  • D. Glen Bateman
    Glen Bateman is a retired sociology professor and key survivor character in Stephen King's post-apocalyptic novel "The Stand," known for his analytical perspective on the collapse and rebuilding of society.
  • E. Jason Beghe
    Jason Beghe is an American actor best known for his role as tough, gravel-voiced Sergeant Hank Voight in the television series "Chicago P.D."
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0197d03c08190a5515ffe3cc887ea completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.