Triple

T16635349
Position Surface form Disambiguated ID Type / Status
Subject Eat a Bowl of Tea E404183 entity
Predicate cinematographer P1953 FINISHED
Object Michael Chin E1195136 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: Michael Chin | Statement: [Eat a Bowl of Tea, cinematographer, Michael Chin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Chin
Context triple: [Eat a Bowl of Tea, cinematographer, Michael Chin]
  • A. Michael Chin chosen
    Michael Chin is a cinematographer best known for his work on the influential independent film "Chan Is Missing."
  • B. Frank Wu
    Frank Wu is an American science fiction fan artist and illustrator best known for his multiple Hugo Award–winning works in the speculative fiction community.
  • C. Alexander Chee
    Alexander Chee is a Korean American novelist, essayist, and professor best known for his novels "Edinburgh" and "The Queen of the Night" and his influential essays on identity, politics, and writing.
  • D. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • E. Cathy Park Hong
    Cathy Park Hong is a Korean American poet, essayist, and professor known for her innovative poetry collections and the acclaimed essay collection "Minor Feelings: An Asian American Reckoning."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e999d48190bff680040dbc883d completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.