Triple

T27795551
Position Surface form Disambiguated ID Type / Status
Subject Richard Feynman bibliography E701197 entity
Predicate aboutPersonInstitution P1933 FINISHED
Object California Institute of Technology 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: California Institute of Technology | Statement: [Richard Feynman bibliography, aboutPersonInstitution, California Institute of Technology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aboutPersonInstitution
Context triple: [Richard Feynman bibliography, aboutPersonInstitution, California Institute of Technology]
  • A. inInstitution
    Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
  • B. associatedInstitution chosen
    Indicates that an entity has a formal connection or affiliation with a particular institution.
  • C. academicAffiliationOfInstitution
    Indicates that an institution is academically affiliated with, or formally connected to, another institution.
  • D. involvesInstitution
    Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
  • E. associatedWithInstitution
    Indicates that an entity has a formal or recognized connection or affiliation with an institution.
  • 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_69ef6a50d8088190acbf3dfbb06d8091 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a931748190a637e631a52bbfaa completed May 2, 2026, 7:34 p.m.
Created at: April 27, 2026, 5:31 p.m.