Triple

T13537990
Position Surface form Disambiguated ID Type / Status
Subject Lauren Hemp E323310 entity
Predicate name P16 FINISHED
Object Lauren Hemp E323310 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: Lauren Hemp | Statement: [Lauren Hemp, name, Lauren Hemp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Hemp
Context triple: [Lauren Hemp, name, Lauren Hemp]
  • A. Lauren Hemp chosen
    Lauren Hemp is an English professional footballer and winger renowned for her pace, dribbling, and goal-scoring for Manchester City and the England national team.
  • B. Brittany Henderson
    Brittany Henderson is a Canadian golf caddie and the older sister of professional golfer Brooke Henderson, often serving as her caddie on the LPGA Tour.
  • C. Lauren Stanley
    Lauren Stanley is an American former child actress best known for her role in the 1988 science fiction film "Mac and Me."
  • D. Lauren Hartke
    Lauren Hartke is the introspective performance artist protagonist of Don DeLillo’s novel "The Body Artist," known for her intense exploration of time, identity, and the body.
  • E. Lauren Hutchinson
    Lauren Hutchinson is a central teenage character in the short-lived 1980s American sitcom "Square Pegs," which focused on the social struggles of high school misfits.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.