Triple

T4466973
Position Surface form Disambiguated ID Type / Status
Subject Linda Hamilton E98402 entity
Predicate givenName 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 Hamilton, givenName, Linda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda
Context triple: [Linda Hamilton, givenName, 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3569a38e88190a8d590931c4a7c96 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62860151c8190b43465537b154f00 completed March 15, 2026, 3:32 a.m.
Created at: March 12, 2026, 11:34 p.m.