Triple

T7239
Position Surface form Disambiguated ID Type / Status
Subject Faculty Early Career Development (CAREER) Program E142 entity
Predicate typicalRecipientRole P379 FINISHED
Object assistant professor or equivalent 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: assistant professor or equivalent | Statement: [Faculty Early Career Development (CAREER) Program, typicalRecipientRole, assistant professor or equivalent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRecipientRole
Context triple: [Faculty Early Career Development (CAREER) Program, typicalRecipientRole, assistant professor or equivalent]
  • A. notableRecipient
    Indicates that an entity has received a notable award, honor, or recognition from another entity.
  • B. scopeOfRecipients
    Indicates the range or group of recipients to whom something (such as information, communication, or benefits) is directed or applicable.
  • C. hasTypeOfRecipient chosen
    Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
  • D. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • E. keyPerson
    Indicates that a person plays a primary, central, or critically important role in relation to an organization, project, or entity.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a241a55ac081909e95b71c97db8140 completed Feb. 28, 2026, 1:15 a.m.
PD Predicate disambiguation batch_69a23fe1cf38819080ea56c40bf2632e completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.