Triple

T31885893
Position Surface form Disambiguated ID Type / Status
Subject Berkman Professor of Entrepreneurial Legal Studies E814006 entity
Predicate chairHolderAffiliation P86004 FINISHED
Object Harvard Law School faculty 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: Harvard Law School faculty | Statement: [Berkman Professor of Entrepreneurial Legal Studies, chairHolderAffiliation, Harvard Law School faculty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chairHolderAffiliation
Context triple: [Berkman Professor of Entrepreneurial Legal Studies, chairHolderAffiliation, Harvard Law School faculty]
  • A. holderAffiliation chosen
    Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
  • B. subjectAffiliation
    Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
  • C. titleHolderFormerAffiliation
    Indicates that a former holder of a title was previously affiliated with a specified organization, group, or institution.
  • D. presenterAffiliation
    Indicates that a presenter is formally associated with, or represents, a particular organization or institution.
  • E. namedForPersonAffiliation
    Indicates that something is named after a person specifically because of that person's affiliation with a particular group, organization, place, or role.
  • 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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b21e7e088190832a3db585daea1c completed May 3, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69f6b14faf608190a25b977c0740729c completed May 3, 2026, 2:22 a.m.
Created at: April 30, 2026, 11:57 p.m.