Triple

T9635285
Position Surface form Disambiguated ID Type / Status
Subject Douglas Hurley E232912 entity
Predicate familyName P18 FINISHED
Object Hurley E116500 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: Hurley | Statement: [Douglas Hurley, familyName, Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurley
Context triple: [Douglas Hurley, familyName, Hurley]
  • A. Hurley chosen
    Hurley is a common English-language surname borne by various notable individuals across fields such as technology, sports, and entertainment.
  • B. Hurley Reyes
    Hurley Reyes is a beloved main character from the television series "Lost," known for his humor, kindness, and complex backstory involving a lottery win and perceived bad luck.
  • C. Domino Hurley
    Domino Hurley is a slick, antagonistic travel agent and rival to protagonist Manny Calavera in the noir-inspired adventure game Grim Fandango.
  • D. Bernard
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • E. Lloyd
    Lloyd is an American R&B singer known for his smooth vocals and early-2000s hits like "Southside" and "You."
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2ba0308190931993c0321f6051 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18237e2608190a3e7d45231a35efd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.