Triple

T19474407
Position Surface form Disambiguated ID Type / Status
Subject Ronald N. Bracewell E487206 entity
Predicate workInstitution P1203 FINISHED
Object Stanford University 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: Stanford University | Statement: [Ronald N. Bracewell, workInstitution, Stanford University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford University
Context triple: [Ronald N. Bracewell, workInstitution, Stanford University]
  • A. Stanford University chosen
    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.
  • B. Stanford
    Stanford is a small historic village in South Africa’s Western Cape, known for its well-preserved Cape Victorian architecture, riverside setting, and nearby wine farms and nature reserves.
  • C. Stanford
    Stanford is a small town in Dutchess County, New York, known for its rural character and scenic Hudson Valley landscapes.
  • D. Stanford
    Stanford is a masculine given name, most commonly used as a first name in English-speaking countries.
  • E. Standford
    Standford is a small village located within the East Hampshire district of Hampshire in southern England.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633ef69508190b0d71ef663ba8977 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.