Triple

T13830918
Position Surface form Disambiguated ID Type / Status
Subject Palmer, Massachusetts E332395 entity
Predicate hasVillage P4011 FINISHED
Object Thorndike E543622 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: Thorndike | Statement: [Palmer, Massachusetts, hasVillage, Thorndike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thorndike
Context triple: [Palmer, Massachusetts, hasVillage, Thorndike]
  • A. Thorndike chosen
    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.
  • B. 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.
  • C. Sprague-Thomson
    Sprague-Thomson was a long-serving class of steel-bodied electric multiple units used on the Paris Métro from the early 20th century until their gradual replacement in the late 20th century.
  • D. Bridgman
    Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
  • E. Skinner
    Skinner is a fictional member of the J-Squad military unit in the science fiction film "Edge of Tomorrow."
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ebf2608190b1071ee6967fa8d3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.