Triple

T7853135
Position Surface form Disambiguated ID Type / Status
Subject Anita Louise E182104 entity
Predicate spouse P13 FINISHED
Object Buddy Adler E296556 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: Buddy Adler | Statement: [Anita Louise, spouse, Buddy Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddy Adler
Context triple: [Anita Louise, spouse, Buddy Adler]
  • A. Buddy Adler chosen
    Buddy Adler was an American film producer and studio executive best known for his work at 20th Century Fox during the 1950s, overseeing several acclaimed Hollywood productions.
  • B. Buddy "Cloudy" Russo
    Buddy "Cloudy" Russo is a tough, streetwise New York City narcotics detective who partners with Popeye Doyle in the crime thriller film "The French Connection."
  • C. Billy De Wolfe
    Billy De Wolfe was an American character actor and comedian known for his fussy, fast-talking persona in mid-20th-century film, stage, and television comedies.
  • D. Vic Hoskins
    Vic Hoskins is a ruthless InGen security chief in Jurassic World who seeks to weaponize dinosaurs for military use.
  • E. Lloyd Vogel
    Lloyd Vogel is the fictional, emotionally troubled journalist protagonist of the film "A Beautiful Day in the Neighborhood," whose life is transformed through his encounters with Fred Rogers.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b1e9e808190a0eb2dea5288e743 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.