Triple

T3268245
Position Surface form Disambiguated ID Type / Status
Subject Auburn, New York E68578 entity
Predicate hasNotableResident P1092 FINISHED
Object Theodore Case E25594 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: Theodore Case | Statement: [Auburn, New York, hasNotableResident, Theodore Case]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore Case
Context triple: [Auburn, New York, hasNotableResident, Theodore Case]
  • A. Theodore Case chosen
    Theodore Case was an American inventor and pioneer of sound-on-film technology whose work helped enable synchronized audio in motion pictures.
  • B. Vannevar Bush
    American electrical engineer and science administrator (1890~1974)
  • C. Walter A. Brown
    Walter A. Brown was an American sports executive best known for helping establish the NBA and building the Boston Celtics into a championship franchise.
  • D. Edgar A. Newell
    Edgar A. Newell was an American businessman and entrepreneur best known for building the Newell Company into a major consumer goods manufacturer that later became Newell Brands.
  • E. John A. Alonzo
    John A. Alonzo was an American cinematographer best known for his influential work on films such as "Chinatown," which helped define the visual style of 1970s Hollywood cinema.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcf9c6c819092f9c618b778b46d completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.