Triple

T17746334
Position Surface form Disambiguated ID Type / Status
Subject Claire Temple E442999 entity
Predicate associatedWith P37 FINISHED
Object Colleen Wing 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: Colleen Wing | Statement: [Claire Temple, associatedWith, Colleen Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colleen Wing
Context triple: [Claire Temple, associatedWith, Colleen Wing]
  • A. Colleen Wing chosen
    Colleen Wing is a skilled martial artist and samurai-trained hero in Marvel Comics, often associated with the Daughters of the Dragon and the street-level heroes of New York City.
  • B. Rosalind Chao
    Rosalind Chao is an American actress best known for her roles in "The Joy Luck Club" and the "Star Trek" franchise.
  • C. Ellen Wong
    Ellen Wong is a Canadian actress best known for her breakout role as Knives Chau in the film "Scott Pilgrim vs. the World."
  • D. Margaret Chung
    Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
  • E. Janet Lam
    Janet Lam is known as the wife of John Lee Ka-chiu, the Chief Executive of Hong Kong.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.