Triple

T1076542
Position Surface form Disambiguated ID Type / Status
Subject Calhoun College E23851 entity
Predicate formerNameOf P65 FINISHED
Object Grace Hopper College E23958 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: Grace Hopper College | Statement: [Calhoun College, formerNameOf, Grace Hopper College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace Hopper College
Context triple: [Calhoun College, formerNameOf, Grace Hopper College]
  • A. Grace Hopper College chosen
    Grace Hopper College is one of Yale University's undergraduate residential colleges, named after computer science pioneer Rear Admiral Grace Hopper.
  • B. Saybrook College
    Saybrook College is one of Yale University's historic residential colleges, known for its Collegiate Gothic architecture and central location on campus.
  • C. Branford College
    Branford College is one of Yale University's residential colleges, known for its Collegiate Gothic architecture and central location on the New Haven campus.
  • D. Georgia Institute of Technology
    Georgia Institute of Technology is a leading public research university renowned for its engineering, computing, and technology programs.
  • E. Schwarzman College of Computing
    Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b940d4848190930e73597afd1fcf completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42abc7a08190a34f5b2d393db30e completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.