Triple

T7652234
Position Surface form Disambiguated ID Type / Status
Subject Esther Duflo E173278 entity
Predicate hasHonoraryDoctorateFrom P2837 FINISHED
Object honorary doctorate-granting universities (various) 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: honorary doctorate-granting universities (various) | Statement: [Esther Duflo, hasHonoraryDoctorateFrom, honorary doctorate-granting universities (various)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHonoraryDoctorateFrom
Context triple: [Esther Duflo, hasHonoraryDoctorateFrom, honorary doctorate-granting universities (various)]
  • A. hasHonoraryDegreeFrom chosen
    Indicates that an individual has been awarded an honorary degree by a particular institution.
  • B. hasDoctoralDegreeFrom
    Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
  • C. hasAcademicChairNamedAfter
    Indicates that an academic chair or professorship is named in honor of a particular person or entity.
  • D. honorificDegree
    Indicates that an entity has been awarded an honorary academic degree or title, typically in recognition of merit rather than completion of formal study.
  • E. honorsPerson
    Indicates that one entity formally recognizes, respects, or pays tribute to a specific person.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7061cbc3c8190a917dd7e71214182 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015dd8fc8190bc5f52a12bd46209 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 3:58 p.m.