Triple

T4626157
Position Surface form Disambiguated ID Type / Status
Subject Wild Things E101101 entity
Predicate screenplayBy P15305 FINISHED
Object Stephen Peters E469624 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: Stephen Peters | Statement: [Wild Things, screenplayBy, Stephen Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Peters
Context triple: [Wild Things, screenplayBy, Stephen Peters]
  • A. Stephen Peters chosen
    Stephen Peters is an American screenwriter best known for writing the neo-noir thriller film "Wild Things."
  • B. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • C. Keith Peters
    Keith Peters is a prominent British physician and medical researcher known for his leadership in academic medicine and contributions to immunology and medical science policy.
  • D. Peter Sissons
    Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
  • E. Tim Pugh
    Tim Pugh is a former Major League Baseball pitcher who played primarily for the Cincinnati Reds in the early 1990s.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d6d97fc819095d585ade9de201d completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:13 p.m.