Triple

T7781150
Position Surface form Disambiguated ID Type / Status
Subject Richard Madsen E221519 entity
Predicate coAuthor P398 FINISHED
Object Anita Chan E93712 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: Anita Chan | Statement: [Richard Madsen, coAuthor, Anita Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita Chan
Context triple: [Richard Madsen, coAuthor, Anita Chan]
  • A. Anita Chan chosen
    Anita Chan is a prominent scholar known for her influential research on Chinese labor issues and labor rights.
  • B. Vivian Chan
    Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
  • C. Yvonne Chan
    Yvonne Chan is the maternal grandmother of August Chan Zuckerberg, the daughter of Facebook co-founder Mark Zuckerberg and pediatrician Priscilla Chan.
  • D. Cindy Cheung
    Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
  • E. Yvonne Szeto
    Yvonne Szeto is a prominent architect and partner at the international architecture firm Pei Cobb Freed & Partners, known for her work on major cultural and institutional projects.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d6cf9881909f5220437db13cc7 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5c1f20c81908ae2fc35550b91b5 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:21 p.m.