Triple

T10344969
Position Surface form Disambiguated ID Type / Status
Subject Rachel Bilson E243720 entity
Predicate parent P120 FINISHED
Object Danny Bilson E219096 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: Danny Bilson | Statement: [Rachel Bilson, parent, Danny Bilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Bilson
Context triple: [Rachel Bilson, parent, Danny Bilson]
  • A. Danny Bilson chosen
    Danny Bilson is an American writer, director, and producer known for his work in film, television, and video games, often in the science fiction and action genres.
  • B. Bibb Falk
    Bibb Falk was an American baseball player and longtime University of Texas coach known for leading the Longhorns to multiple national championships and having the school's baseball stadium named in his honor.
  • C. Billy Bletcher
    Billy Bletcher was an American actor and voice actor best known for his booming, villainous voice in early Disney and Warner Bros. cartoons.
  • D. Charley Chase
    Charley Chase was an American silent and early sound film comedian, actor, and director best known for his work in short comedies at the Hal Roach Studios in the 1920s and 1930s.
  • E. Ernest Menville
    Ernest Menville is a beleaguered plastic surgeon and mortician caught between two vain, immortal rivals in the dark comedy film "Death Becomes Her."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9228cd88190bcd94b85537233c1 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7507f708c8190b8cf684704a6e47d completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.