Triple

T13580661
Position Surface form Disambiguated ID Type / Status
Subject Angela Hayes E324405 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Jane Burnham 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: Jane Burnham | Statement: [Angela Hayes, associatedWithCharacter, Jane Burnham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Burnham
Context triple: [Angela Hayes, associatedWithCharacter, Jane Burnham]
  • A. Jane Burnham chosen
    Jane Burnham is the disaffected teenage daughter in the film "American Beauty," whose strained family relationships and search for identity reflect the movie’s critique of suburban life.
  • B. April Blair
    April Blair is an American television writer and producer best known for developing and executive producing the drama series "All American."
  • C. Barbara Hopkinson
    Barbara Hopkinson is an author and grief recovery advocate known for helping individuals and families cope with the loss of loved ones.
  • D. Jane Belson
    Jane Belson was a British barrister best known as the wife of author Douglas Adams.
  • E. Susan Borman
    Susan Borman was the wife of Apollo 8 astronaut Frank Borman and a prominent figure among the early NASA astronaut wives, known for her role in supporting her husband’s career and coping with the stresses of the space program.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
Created at: April 9, 2026, 9:48 p.m.