Triple

T3995275
Position Surface form Disambiguated ID Type / Status
Subject Professor at Massachusetts Institute of Technology E87083 entity
Predicate requiresExperience P22183 FINISHED
Object strong research record 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: strong research record | Statement: [Professor at Massachusetts Institute of Technology, requiresExperience, strong research record]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresExperience
Context triple: [Professor at Massachusetts Institute of Technology, requiresExperience, strong research record]
  • A. requiresSkill
    Indicates that performing or engaging in one entity (e.g., a task or role) depends on possessing or applying a specific skill represented by the other entity.
  • B. typeOfExperience chosen
    Indicates that one entity specifies the category or nature of an experience associated with another entity.
  • C. requiresPractice
    Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
  • D. allowsNoPriorExperience
    Indicates that the action, role, or opportunity does not require any previous experience from the participant or applicant.
  • E. requiresEducation
    Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:34 p.m.