Triple

T23236897
Position Surface form Disambiguated ID Type / Status
Subject Everett McGill E581324 entity
Predicate portrayed P1668 FINISHED
Object Ed Hurley 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: Ed Hurley | Statement: [Everett McGill, portrayed, Ed Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Hurley
Context triple: [Everett McGill, portrayed, Ed Hurley]
  • A. Ed Hurley chosen
    Ed Hurley is a central character in the television series "Twin Peaks," known as the owner of the Gas Farm and for his complicated romantic entanglements in the small town.
  • B. Michael G. Hurley
    Michael G. Hurley is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Hurley.
  • C. Michael D. Hurley
    Michael D. Hurley is a literary scholar and critic known for his work on style, form, and the philosophy of literature, particularly in relation to religious and aesthetic experience.
  • D. Michael S. Hurley
    Michael S. Hurley is an individual notable enough to be recognized as a distinguished bearer of the surname Hurley, though specific widely known achievements or roles are not clearly established.
  • E. Michael N. Hurley
    Michael N. Hurley is a former CIA operations officer and counterterrorism expert known for his work on U.S. national security and intelligence issues.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e98dec8190a23385600bed9ae0 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.