Triple

T9465083
Position Surface form Disambiguated ID Type / Status
Subject Charlie Hill E228250 entity
Predicate hasName P744 FINISHED
Object Charlie Hill E228250 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: Charlie Hill | Statement: [Charlie Hill, hasName, Charlie Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlie Hill
Context triple: [Charlie Hill, hasName, Charlie Hill]
  • A. Charlie Hill chosen
    Charlie Hill is a central male character in the musical comedy "The Belle of New York," typically portrayed as a charming young man entangled in romantic and comedic misadventures.
  • B. Thomas Knowlton
    Thomas Knowlton was a Continental Army officer and early American war hero, best known for leading an elite reconnaissance unit known as Knowlton's Rangers during the American Revolutionary War.
  • C. Wesley Kilmer
    Wesley Kilmer is a sibling of American actor Val Kilmer, known primarily in relation to his more famous brother.
  • D. Charles Groves
    Charles Groves was a distinguished British conductor renowned for his interpretations of English orchestral music and his leadership of major UK orchestras in the mid-20th century.
  • E. Fletcher Marron
    Fletcher Marron is the young son of superstar singer and actress Rachel Marron in the film "The Bodyguard."
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdad3c4819083b06f1b45acc85a completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122b1440c81909de61d4e72eb93f4 completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.