Triple

T10194716
Position Surface form Disambiguated ID Type / Status
Subject Charlie Pace E238131 entity
Predicate friendOf P8712 FINISHED
Object Hurley E388253 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: [Charlie Pace, friendOf, Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurley
Context triple: [Charlie Pace, friendOf, Hurley]
  • A. Hurley
    Hurley is a common English-language surname borne by various notable individuals across fields such as technology, sports, and entertainment.
  • B. Hurley Reyes chosen
    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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317dbfb7c819087aafc7161b14707 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:13 p.m.