Triple

T8085839
Position Surface form Disambiguated ID Type / Status
Subject 1st to Die E188728 entity
Predicate hasCharacter P2308 FINISHED
Object Lindsay Boxer E714401 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: Lindsay Boxer | Statement: [1st to Die, hasCharacter, Lindsay Boxer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Boxer
Context triple: [1st to Die, hasCharacter, Lindsay Boxer]
  • A. Lindsay Boxer chosen
    Lindsay Boxer is a tough, determined San Francisco homicide detective who leads the close-knit group of women solving high-profile crimes in James Patterson’s Women’s Murder Club series.
  • B. Christine Weiss
    Christine Weiss is known as the wife of French politician Gérard Larcher, longtime President of the French Senate.
  • C. Coleen Rowley
    Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
  • D. Laura Deming
    Laura Deming is a venture capitalist and longevity researcher best known for founding The Longevity Fund, which invests in companies developing therapies to extend healthy human lifespan.
  • E. Judith Kilpatrick
    Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4160e4748190ae63624a2a03d09f completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cceceb7fa48190b1013a25fd8f14a5 completed April 1, 2026, 10:01 a.m.
Created at: March 30, 2026, 5:29 p.m.