Triple

T33034341
Position Surface form Disambiguated ID Type / Status
Subject Drucker School of Management E845262 entity
Predicate namedForContributionIn P184407 FINISHED
Object management theory 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: management theory | Statement: [Drucker School of Management, namedForContributionIn, management theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: namedForContributionIn
Context triple: [Drucker School of Management, namedForContributionIn, management theory]
  • A. namedIn
    Indicates that one entity is explicitly mentioned or referenced by name within another entity (such as a document, statement, or record).
  • B. namedForAward
    Indicates that an entity is named in honor of a particular award.
  • C. contributesToNameOf
    Indicates that one entity plays a role in forming, influencing, or helping to determine the name of another entity.
  • D. hasContributionFrom
    Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
  • E. namedTo
    Indicates that one entity has been given or assigned a specific name referring to another entity.
  • F. None of above. chosen

Provenance (4 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_69f34951348c8190b56746b0a7018182 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
PDg Predicate description generation batch_69f7b0e3917481908a394680d76743c3 completed May 3, 2026, 8:32 p.m.
Created at: May 1, 2026, 1:24 a.m.