Triple

T177296
Position Surface form Disambiguated ID Type / Status
Subject Albert J. Weatherhead III University Professor at Harvard University E3600 entity
Predicate positionCategory P87 FINISHED
Object professorship 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: professorship | Statement: [Albert J. Weatherhead III University Professor at Harvard University, positionCategory, professorship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionCategory
Context triple: [Albert J. Weatherhead III University Professor at Harvard University, positionCategory, professorship]
  • A. subjectPosition
    Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
  • B. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • C. positionHeld
    Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
  • D. category chosen
    Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
  • E. leadershipPosition
    Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fd278481908ad4498e03f38e2f completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2566b53d481909c0ed40dd3719e8c completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.