Triple

T7497551
Position Surface form Disambiguated ID Type / Status
Subject Wings E177171 entity
Predicate hasMainCharacter P1183 FINISHED
Object Helen Chappel E690783 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: Helen Chappel | Statement: [Wings, hasMainCharacter, Helen Chappel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Chappel
Context triple: [Wings, hasMainCharacter, Helen Chappel]
  • A. Helen Chappel chosen
    Helen Chappel is a central character on the sitcom "Wings," known as the sharp-tongued, ambitious airport lunch-counter worker and aspiring cellist.
  • B. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • C. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • D. Helen Davies
    Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
  • E. Helen Spurway
    Helen Spurway was a British geneticist and biologist known for her research on guppies and evolutionary biology, as well as for her collaboration with and marriage to J. B. S. Haldane.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5963d98819098275b161848d2d4 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9567fd22881909bd8f4972144be22 completed March 29, 2026, 4:42 p.m.
Created at: March 27, 2026, 3:44 p.m.