Triple

T12060247
Position Surface form Disambiguated ID Type / Status
Subject Ransom E. Olds E287147 entity
Predicate familyName P18 FINISHED
Object Olds E287147 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: Olds | Statement: [Ransom E. Olds, familyName, Olds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olds
Context triple: [Ransom E. Olds, familyName, Olds]
  • A. Olds chosen
    Olds is a surname most notably associated with American automobile industry pioneer Ransom E. Olds, founder of Oldsmobile and REO Motor Car Company.
  • B. Olds Motor Vehicle Company
    Olds Motor Vehicle Company was an early American automobile manufacturer that became one of the first mass producers of cars in the United States.
  • C. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • D. Thorndike
    Thorndike is a surname most notably associated with Edward L. Thorndike, an influential American psychologist known for his work on learning theory and the law of effect.
  • E. Tolman
    Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f651641c8190bfd1d4d228a36209 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.