Triple

T22069659
Position Surface form Disambiguated ID Type / Status
Subject Scott Anthony Redford E545370 entity
Predicate notableRelative P367 FINISHED
Object Lola Van Wagenen 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: Lola Van Wagenen | Statement: [Scott Anthony Redford, notableRelative, Lola Van Wagenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola Van Wagenen
Context triple: [Scott Anthony Redford, notableRelative, Lola Van Wagenen]
  • A. Lola Van Wagenen chosen
    Lola Van Wagenen is an American historian, activist, and co-founder of the consumer education organization Consumer Action Now, known also for her longtime marriage to actor Robert Redford.
  • B. Lola Burr
    Lola Burr is the daughter of American stand-up comedian and actor Bill Burr and his wife, producer and writer Nia Renee Hill.
  • C. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • D. Lola
    Lola is the first name of Lola Ray Facinelli, the daughter of actors Peter Facinelli and Jennie Garth.
  • E. Lola
    Lola is a Muppet-style character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for engaging children through songs and educational segments.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1288724e881908b38fe7e56d3b448 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.