Triple

T12730848
Position Surface form Disambiguated ID Type / Status
Subject Lola Kirke E304231 entity
Predicate name P16 FINISHED
Object Lola Kirke E304231 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: Lola Kirke | Statement: [Lola Kirke, name, Lola Kirke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola Kirke
Context triple: [Lola Kirke, name, Lola Kirke]
  • A. Lola Kirke chosen
    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."
  • B. Linda Christian
    Linda Christian was a Mexican-born Hollywood actress best known as the first on-screen "Bond girl" in the 1954 television adaptation of Casino Royale.
  • C. Ora Baxter
    Ora Baxter is the mother of Jody Baxter, a central character in Marjorie Kinnan Rawlings' classic novel "The Yearling."
  • D. Ora Baxter
    Ora Baxter is a fictional character portrayed by actress Jane Wyman, likely featured in a mid-20th-century film or television production.
  • E. Claire Trevor
    Claire Trevor was an American actress renowned for her tough yet vulnerable roles in classic Hollywood films, earning three Academy Award nominations and winning Best Supporting Actress for "Key Largo."
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd466577508190b1926c475b7c49dc completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 5:25 p.m.