Triple

T16007408
Position Surface form Disambiguated ID Type / Status
Subject Hurley Reyes E388253 entity
Predicate nickname P55 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: [Hurley Reyes, nickname, Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurley
Context triple: [Hurley Reyes, nickname, 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 the brave, resourceful mouse protagonist from Disney’s "The Rescuers" films, known for his cautious nature and heroic rescue missions alongside Miss Bianca.
  • E. Bernard
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.