Triple

T5644998
Position Surface form Disambiguated ID Type / Status
Subject Lenore Blum E124362 entity
Predicate employer P7 FINISHED
Object Carnegie Mellon University E33793 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: Carnegie Mellon University | Statement: [Lenore Blum, employer, Carnegie Mellon University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnegie Mellon University
Context triple: [Lenore Blum, employer, Carnegie Mellon University]
  • A. CMU
    CMU is a major medical university located in Shenyang, China, known for its education and research in clinical medicine and related health sciences.
  • B. CMU
    CMU is a public university in Grand Junction, Colorado, known for its diverse undergraduate programs and strong regional presence on the Western Slope.
  • C. CMU chosen
    CMU is a private research university in Pittsburgh, Pennsylvania, renowned for its leading programs in computer science, engineering, and the arts.
  • D. 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.
  • E. CMU College of Engineering
    CMU College of Engineering is the engineering school of Carnegie Mellon University, renowned for its cutting-edge research and education in areas such as robotics, computer engineering, and materials science.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a8eccc8190837d4705670dc25e completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ed3748190875aacdf5e9ee211 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:41 p.m.