Triple

T11435407
Position Surface form Disambiguated ID Type / Status
Subject Passing (1929) E270991 entity
Predicate hasCharacter P2308 FINISHED
Object John Bellew E737521 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: John Bellew | Statement: [Passing (1929), hasCharacter, John Bellew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bellew
Context triple: [Passing (1929), hasCharacter, John Bellew]
  • A. John Bellew chosen
    John Bellew is a racist white husband in the film "Passing" whose vehement prejudice and marriage to a Black woman passing as white drive much of the story’s central tension.
  • B. Julian Bannerman
    Julian Bannerman is a British garden designer known for his romantic, theatrical landscapes created in partnership with his wife, Isabel Bannerman.
  • C. Thomas Edward Collcutt
    Thomas Edward Collcutt was a prominent late 19th- and early 20th-century British architect known for his richly ornamented public and commercial buildings in London.
  • D. Henry Smith
    Henry Smith was a wealthy 17th-century English merchant and philanthropist whose charitable endowments helped establish institutions such as Reigate Grammar School.
  • E. Henry Smith
    Henry Smith was an early Texas political leader who served as the first American-born governor during the Texas Revolution.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d38727fc8190b5daac83e03491e6 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.