Triple

T7056049
Position Surface form Disambiguated ID Type / Status
Subject Charles Villiers Stanford E164093 entity
Predicate familyName P18 FINISHED
Object Stanford E232550 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: Stanford | Statement: [Charles Villiers Stanford, familyName, Stanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford
Context triple: [Charles Villiers Stanford, familyName, Stanford]
  • A. Stanford
    Stanford is a small town in Dutchess County, New York, known for its rural character and scenic Hudson Valley landscapes.
  • B. Stanford chosen
    Stanford is a masculine given name, most commonly used as a first name in English-speaking countries.
  • C. Standford
    Standford is a small village located within the East Hampshire district of Hampshire in southern England.
  • D. Stanford University
    Stanford University is a prestigious private research university in the San Francisco Bay Area renowned for its academic excellence, innovation, and influence in technology and entrepreneurship.
  • E. University of California, Berkeley
    The University of California, Berkeley is a leading public research university renowned for its academic excellence, groundbreaking innovation, and historic role in social and political movements.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e269050c81908c186609a8a7bcf9 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8c5a9fc81909a94e8e6c287b591 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:38 p.m.