Triple

T3057964
Position Surface form Disambiguated ID Type / Status
Subject Stanford White E60526 entity
Predicate givenName P17 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: [Stanford White, givenName, Stanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford
Context triple: [Stanford White, givenName, 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. 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.
  • D. 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.
  • E. Stanford-le-Hope
    Stanford-le-Hope is a small town in the unitary authority of Thurrock in Essex, England, known as a commuter settlement with rail links into London.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e162d148190969fb422a45d052c completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb6216ac8190950d789de6e36aa6 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:02 p.m.