Triple

T5509349
Position Surface form Disambiguated ID Type / Status
Subject Kate Keller E144523 entity
Predicate child P120 FINISHED
Object Chris Keller E131902 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: Chris Keller | Statement: [Kate Keller, child, Chris Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Keller
Context triple: [Kate Keller, child, Chris Keller]
  • A. Chris Keller chosen
    Chris Keller is a central character in Arthur Miller's play "All My Sons," a morally conflicted World War II veteran struggling with loyalty to his family and his own ethical principles.
  • B. Joan Severance
    Joan Severance is an American actress and former fashion model known for her roles in 1980s and 1990s films and television, often portraying glamorous or femme fatale characters.
  • C. Biff Loman
    Biff Loman is the conflicted elder son of Willy Loman in Arthur Miller’s play "Death of a Salesman," whose disillusionment with the American Dream drives much of the drama’s emotional and thematic tension.
  • D. Julie Jordan
    Julie Jordan is the young mill worker and romantic heroine at the center of Rodgers and Hammerstein’s musical "Carousel."
  • E. Helen Broderick
    Helen Broderick was an American stage and film actress best known for her sharp-witted comedic roles in 1930s Hollywood musicals and comedies.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4a80d88190bab0056c4c78be93 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c4b6c0819086c7c64911c7106e completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:33 p.m.