Triple

T21889613
Position Surface form Disambiguated ID Type / Status
Subject The Score E540502 entity
Predicate hasWriter P4244 FINISHED
Object Daniel E. Taylor 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: Daniel E. Taylor | Statement: [The Score, hasWriter, Daniel E. Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel E. Taylor
Context triple: [The Score, hasWriter, Daniel E. Taylor]
  • A. Daniel E. Taylor chosen
    Daniel E. Taylor is a writer best known for co-writing the story for the crime thriller film "The Score."
  • B. Paul T. Taylor
    Paul T. Taylor is an American actor best known for playing the iconic horror character Pinhead in the Hellraiser film franchise.
  • C. Mark L. Taylor
    Mark L. Taylor is an American character actor known for his supporting roles in film and television, including appearances in movies like "Honey, I Shrunk the Kids" and "Arachnophobia."
  • D. Eric M. Taylor
    Eric M. Taylor was a notable figure significant enough in his community or field to have the Eric M. Taylor Center named in his honor.
  • E. James P. Taylor
    James P. Taylor was an American conservationist and outdoor enthusiast best known for conceiving and initiating the creation of Vermont’s Long Trail, the oldest long-distance hiking trail in the United States.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ef2b648190bbd78f6b3958d2ee completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:06 p.m.