Triple

T33055274
Position Surface form Disambiguated ID Type / Status
Subject Philosophy Department of Columbia University E845828 entity
Predicate hasNotableFormerFaculty P87122 FINISHED
Object John Dewey 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: John Dewey | Statement: [Philosophy Department of Columbia University, hasNotableFormerFaculty, John Dewey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableFormerFaculty
Context triple: [Philosophy Department of Columbia University, hasNotableFormerFaculty, John Dewey]
  • A. notableFormerFaculty chosen
    Indicates that the subject has, as part of its history, individuals who previously served as faculty members and are considered notable.
  • B. hasNotableFacultyAlumnus
    Indicates that an individual is a distinguished former student who is recognized as notable faculty at a given institution.
  • C. hasNotableAlumniInstitution
    Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
  • D. hadFacultyFrom
    Indicates that an educational institution employed or was associated with faculty members originating from a specified place or institution.
  • E. notableFormerTeacher
    Indicates that one entity previously taught another and is recognized as a particularly significant or distinguished former teacher of that entity.
  • F. None of above.

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_69f3495333b8819095e9af56855b9061 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a017969ff908190a7a1a46b3f5ae362 completed May 11, 2026, 6:38 a.m.
PD Predicate disambiguation batch_6a017609ff4c8190aba8a1864d39a608 completed May 11, 2026, 6:24 a.m.
Created at: May 1, 2026, 1:25 a.m.