Triple

T7125588
Position Surface form Disambiguated ID Type / Status
Subject Linda Lovelace E166049 entity
Predicate hasGivenName P17 FINISHED
Object Linda E28018 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: Linda | Statement: [Linda Lovelace, hasGivenName, Linda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda
Context triple: [Linda Lovelace, hasGivenName, Linda]
  • A. Linda chosen
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • B. Linda
    Linda is a supporting character in the film "The Pursuit of Happyness," depicted as Chris Gardner’s struggling and increasingly distant partner amid the family’s financial hardships.
  • C. Linda
    Linda is a tragic, outcast figure in Aldous Huxley’s dystopian novel "Brave New World," whose experiences highlight the clash between the World State’s values and natural human emotion.
  • D. Laurie
    Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
  • E. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64d99888190a93c1822e19b5457 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad8d00848190a5a4b9b64b3426e7 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:44 p.m.