Triple

T7665989
Position Surface form Disambiguated ID Type / Status
Subject Thomas H. Cormen E173623 entity
Predicate hasVIAFID P76473 FINISHED
Object 24645740 LITERAL 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: 24645740 | Statement: [Thomas H. Cormen, hasVIAFID, 24645740]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVIAFID
Context triple: [Thomas H. Cormen, hasVIAFID, 24645740]
  • A. viafID chosen
    Indicates that an entity is associated with a specific VIAF (Virtual International Authority File) identifier linking it to an authority record in the VIAF system.
  • B. libraryOfCongressAuthorityID
    Indicates that an entity is associated with a specific Library of Congress authority control identifier that uniquely standardizes its name or heading.
  • C. ISNI
    Indicates that an entity is associated with a specific International Standard Name Identifier, uniquely identifying its public identity in creative or scholarly activities.
  • D. hasDigitalObjectIdentifier
    Indicates that an entity is associated with a specific Digital Object Identifier (DOI) that uniquely identifies it in a digital environment.
  • E. relatedIdentifier
    Indicates that one identifier is associated with another identifier that refers to the same or a related entity in a different context or system.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.