Triple

T22069649
Position Surface form Disambiguated ID Type / Status
Subject Scott Anthony Redford E545370 entity
Predicate mother P120 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, mother, 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, mother, 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 1970 rock song by The Kinks, famous for its catchy melody and narrative about a romantic encounter that plays with themes of gender identity and ambiguity.
  • D. Lola
    Lola is the seductive, devilish femme fatale character in the musical "Damn Yankees," known for her show-stopping number "Whatever Lola Wants."
  • E. Lola
    Lola is a character featured in the musical "The Origin of Love," likely serving as a significant figure within its narrative about love and identity.
  • 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.