Triple

T5246643
Position Surface form Disambiguated ID Type / Status
Subject Linda Arvidson E118475 entity
Predicate name P16 FINISHED
Object Linda Arvidson E118475 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 Arvidson | Statement: [Linda Arvidson, name, Linda Arvidson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Arvidson
Context triple: [Linda Arvidson, name, Linda Arvidson]
  • A. Linda Arvidson chosen
    Linda Arvidson was an early American silent film actress and writer, best known for her work in pioneering films of the 1900s and her association with director D. W. Griffith.
  • B. Jess Remsberg
    Jess Remsberg is the tough, skilled frontier scout and central protagonist portrayed by James Garner in the 1966 Western film "Duel at Diablo."
  • C. Karen E. Spilka
    Karen E. Spilka is an American politician and attorney who serves as President of the Massachusetts Senate and represents the MetroWest region in the state legislature.
  • D. Judith Nodine
    Judith Nodine is known as the former spouse of American investor and former U.S. Secretary of Commerce Wilbur Ross.
  • E. Joan A. Brennecke
    Joan A. Brennecke is a prominent chemical engineer renowned for her pioneering research on ionic liquids and sustainable chemical processes, recognized as one of the leading figures in green chemistry.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b5320748190bcf3be4b6c364f92 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe68e1148190b2e3cc1f9e49dbbf completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.