Triple

T20484160
Position Surface form Disambiguated ID Type / Status
Subject Edward C. Tolman E502541 entity
Predicate familyName P18 FINISHED
Object Tolman NE NERFINISHED

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: Tolman | Statement: [Edward C. Tolman, familyName, Tolman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolman
Context triple: [Edward C. Tolman, familyName, Tolman]
  • A. Tolman chosen
    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.
  • B. 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.
  • C. Olds
    Olds is a surname most notably associated with American automobile industry pioneer Ransom E. Olds, founder of Oldsmobile and REO Motor Car Company.
  • D. Olds
    Olds is a small agricultural and educational hub in central Alberta, Canada, known for Olds College and its surrounding farming community.
  • E. Edward C. Tolman
    Edward C. Tolman was an American psychologist known for his pioneering work in cognitive behaviorism, especially his concept of cognitive maps and purposive behavior in animals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b59ae2c8190bfa26a3f1e59b8d1 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.