Triple

T6711792
Position Surface form Disambiguated ID Type / Status
Subject Joan Fontaine E153160 entity
Predicate spouse P13 FINISHED
Object Brian Aherne E639341 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: Brian Aherne | Statement: [Joan Fontaine, spouse, Brian Aherne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Aherne
Context triple: [Joan Fontaine, spouse, Brian Aherne]
  • A. Brian Aherne chosen
    Brian Aherne was a British-born actor known for his distinguished stage and film career in Hollywood during the mid-20th century, often portraying suave, authoritative characters.
  • B. Anthony Quinn
    Anthony Quinn was a Mexican-American actor, painter, and writer best known for his Academy Award–winning film roles and his iconic performance in "Zorba the Greek."
  • C. John Gavin
    John Gavin was an American film actor and diplomat best known for his leading roles in classic films of the late 1950s and early 1960s, including "Psycho" and "Imitation of Life."
  • D. Peter Neal
    Peter Neal is an American lawyer known for being married to Naomi Biden, the granddaughter of U.S. President Joe Biden.
  • E. Edmond O'Brien
    Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91152b4548190a0749cbd3e26cf9e completed March 29, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:06 p.m.