Triple

T3482338
Position Surface form Disambiguated ID Type / Status
Subject Kenny Rogers E73520 entity
Predicate spouseOf P13 FINISHED
Object Margo Anderson E73520 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: Margo Anderson | Statement: [Kenny Rogers, spouseOf, Margo Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margo Anderson
Context triple: [Kenny Rogers, spouseOf, Margo Anderson]
  • A. Margo Anderson chosen
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • B. Margo Wilson
    Margo Wilson was a pioneering Canadian evolutionary psychologist best known for her influential research on violence, homicide, and parental investment, often conducted in collaboration with Martin Daly.
  • C. Donna Anderson
    Donna Anderson is an American actress best known for her role in the 1960 courtroom drama film "Inherit the Wind."
  • D. Margo Lee
    Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
  • E. Marilyn Bartlett
    Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6279969388190a808a3c5995df2c5 completed March 15, 2026, 3:29 a.m.
Created at: March 8, 2026, 3:17 p.m.