Triple

T9432074
Position Surface form Disambiguated ID Type / Status
Subject Belle Bennett E227402 entity
Predicate spouse P13 FINISHED
Object Jack Oaker E227402 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: Jack Oaker | Statement: [Belle Bennett, spouse, Jack Oaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Oaker
Context triple: [Belle Bennett, spouse, Jack Oaker]
  • A. Jack Oaker chosen
    Jack Oaker was the husband of silent film actress Belle Bennett, known primarily in relation to her life and career.
  • B. Ray Danton
    Ray Danton was an American actor and director best known for his suave, often villainous roles in film and television during the 1950s and 1960s.
  • C. Bobby McDermott
    Bobby McDermott was an American professional basketball guard widely regarded as one of the greatest players of the pre-NBA era, known for his prolific scoring and multiple championships in the 1930s and 1940s.
  • D. Jim O’Brien
    Jim O’Brien is a former American football placekicker best known for kicking the game-winning field goal for the Baltimore Colts in Super Bowl V.
  • E. Vic Bubas
    Vic Bubas was a prominent American college basketball coach best known for transforming Duke University into a national powerhouse in the 1960s.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e6059bc8190a7e98aef3caabd0b completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104033c08190a3670b017bd984d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.