Triple

T35033376
Position Surface form Disambiguated ID Type / Status
Subject Black Mountain school E1010839 entity
Predicate hasInfluentialText P171405 FINISHED
Object Projective Verse NE NERFINISHED

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: Projective Verse | Statement: [Black Mountain school, hasInfluentialText, Projective Verse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfluentialText
Context triple: [Black Mountain school, hasInfluentialText, Projective Verse]
  • A. hasInfluentialSection
    Indicates that one part or section of something has a significant impact on, or strongly shapes, another entity or the overall outcome.
  • B. hasInfluentialAuthor
    Indicates that an entity has an author whose work has had significant impact or influence in a relevant domain.
  • C. hasTextualImpact chosen
    Indicates that one entity influences, alters, or contributes to the content, style, or interpretation of another entity’s text.
  • D. hasInfluentialStatus
    Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
  • E. hasInfluentialStory
    Indicates that one entity possesses or is associated with a story that significantly shapes, impacts, or guides the beliefs, actions, or development of another 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_69f76dcea02c81908542a223f6d5059f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a00512437d48190ad20324968ead5f4 completed May 10, 2026, 9:34 a.m.
PD Predicate disambiguation batch_6a0050227350819099f41369c3d168be completed May 10, 2026, 9:30 a.m.
Created at: May 3, 2026, 4:01 p.m.