Triple

T20995040
Position Surface form Disambiguated ID Type / Status
Subject Murder by Numbers E517124 entity
Predicate editedBy P1954 FINISHED
Object Lee Percy 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: Lee Percy | Statement: [Murder by Numbers, editedBy, Lee Percy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Percy
Context triple: [Murder by Numbers, editedBy, Lee Percy]
  • A. Lee Percy chosen
    Lee Percy is a film editor known for his work on feature films such as "The Mountain Between Us."
  • B. Tyler Dopps
    Tyler Dopps is a music producer known for his work on the track "Glorious."
  • C. Shawn Elliott
    Shawn Elliott is an American college football coach best known for leading the Georgia State Panthers football program.
  • D. Shawn Elliott
    Shawn Elliott was a Puerto Rican-born American actor and singer known for his work in film, television, and theater.
  • E. Chance McDermott
    Chance McDermott is the son of American cameraman Patrick McDermott, who is widely known for his mysterious 2005 disappearance during a fishing trip off the California coast.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.