Triple

T21688944
Position Surface form Disambiguated ID Type / Status
Subject Michelle E535305 entity
Predicate hasFamousBearer P458 FINISHED
Object Michelle Wie NE NERFINISHED

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: Michelle Wie | Statement: [Michelle, hasFamousBearer, Michelle Wie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Wie
Context triple: [Michelle, hasFamousBearer, Michelle Wie]
  • A. Michelle Wie West chosen
    Michelle Wie West is an American professional golfer who became famous as a teenage prodigy competing in both LPGA and PGA Tour events.
  • B. Lydia Ko
    Lydia Ko is a New Zealand professional golfer who became one of the youngest world number ones in the sport and is renowned for her multiple major championship victories on the LPGA Tour.
  • C. Inbee Park
    Inbee Park is a South Korean professional golfer and multiple major champion widely regarded as one of the greatest players in LPGA Tour history.
  • D. Yani Tseng
    Yani Tseng is a Taiwanese professional golfer renowned for her dominant early career on the LPGA Tour, where she became one of the youngest multiple major champions in women's golf history.
  • E. Alice Kim
    Alice Kim is an American former waitress and actress best known as the ex-wife of actor Nicolas Cage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cd51d481908df67e4f69826b06 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.