Triple

T19559140
Position Surface form Disambiguated ID Type / Status
Subject John C. Reynolds E489395 entity
Predicate employer P7 FINISHED
Object Carnegie Mellon 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: Carnegie Mellon University | Statement: [John C. Reynolds, employer, Carnegie Mellon University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnegie Mellon University
Context triple: [John C. Reynolds, employer, Carnegie Mellon University]
  • A. CMU
    CMU is a public university in Grand Junction, Colorado, known for its diverse undergraduate programs and strong regional presence on the Western Slope.
  • B. CMU
    CMU is a major medical university located in Shenyang, China, known for its education and research in clinical medicine and related health sciences.
  • C. CMU
    CMU is a major public research university in Chiang Mai, Thailand, known for its comprehensive academic programs and role as a leading educational institution in northern Thailand.
  • D. CMU chosen
    CMU is a private research university in Pittsburgh, Pennsylvania, renowned for its leading programs in computer science, engineering, and the arts.
  • E. University of Pittsburgh
    The University of Pittsburgh is a major public research university in Pittsburgh, Pennsylvania, known for its strong programs in medicine, engineering, and the liberal arts.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f723d5081909553a4363b579a6b completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.