Triple

T34909491
Position Surface form Disambiguated ID Type / Status
Subject Gregory Corso bibliography E1006823 entity
Predicate documentsCareerPhase P44284 FINISHED
Object early poetry of Gregory Corso 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: early poetry of Gregory Corso | Statement: [Gregory Corso bibliography, documentsCareerPhase, early poetry of Gregory Corso]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: documentsCareerPhase
Context triple: [Gregory Corso bibliography, documentsCareerPhase, early poetry of Gregory Corso]
  • A. documentsCareerStage chosen
    Indicates that something records or specifies the career stage or professional phase of an entity.
  • B. partOfCareer
    Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
  • C. managedCareerOf
    Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
  • D. depictsCareerStage
    Indicates that one entity visually represents or portrays a particular stage or phase in another entity’s career or professional development.
  • E. hasCareerStage
    Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
  • 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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782c98fa08190870b68de2c1ff26a completed May 3, 2026, 5:15 p.m.
PD Predicate disambiguation batch_69f781020cc4819088c40cb8589504e4 completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.