Triple

T10343036
Position Surface form Disambiguated ID Type / Status
Subject Keenan Wynn E243671 entity
Predicate spouse P13 FINISHED
Object Evelyn Louise Keyes E322735 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: Evelyn Louise Keyes | Statement: [Keenan Wynn, spouse, Evelyn Louise Keyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evelyn Louise Keyes
Context triple: [Keenan Wynn, spouse, Evelyn Louise Keyes]
  • A. Evelyn Keyes chosen
    Evelyn Keyes was an American film actress best known for her role as Suellen O'Hara in the classic 1939 film "Gone with the Wind."
  • B. Sharon Reed
    Sharon Reed is a visual effects industry professional best known as one of the founders of the renowned VFX and creative studio Framestore.
  • C. Nancy Richardson
    Nancy Richardson is a film editor best known for her work on movies such as the biographical sports comedy-drama "Fighting with My Family."
  • D. Lola Kirke
    Lola Kirke is an English-American actress and musician best known for her breakout role in the film "Mistress America" and her work in the series "Mozart in the Jungle."
  • E. Eleanor Parker
    Eleanor Parker was an acclaimed American film and television actress best known for her versatile dramatic roles, including the Baroness in "The Sound of Music."
  • 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_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98811fd3881909369e0f00f2a8267 completed April 10, 2026, 11:30 p.m.
Created at: April 6, 2026, 11:55 a.m.