Triple

T22546120
Position Surface form Disambiguated ID Type / Status
Subject Victor Mature E557432 entity
Predicate spouse P13 FINISHED
Object Lorette Lue King NE NERFINISHED

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: Lorette Lue King | Statement: [Victor Mature, spouse, Lorette Lue King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorette Lue King
Context triple: [Victor Mature, spouse, Lorette Lue King]
  • A. Lorette Lue King chosen
    Lorette Lue King was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
  • B. Loretta King
    Loretta King was an American actress best known for her leading role in Ed Wood’s cult science-fiction film "Bride of the Monster" (1955).
  • C. Loretta King
    Loretta King is a character portrayed by actress Juliet Landau, best known from her role in the film "Ed Wood."
  • D. Elizabeth Lee
    Elizabeth Lee was a member of the prominent Lee family of colonial Virginia, known as the daughter of early Virginia settler Richard Lee I.
  • E. Elizabeth Lee
    Elizabeth Lee was the wife of English poet and playwright Edward Young, best known for his work "Night Thoughts."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.