Triple

T967660
Position Surface form Disambiguated ID Type / Status
Subject Hesiodic Catalogue of Women E20872 entity
Predicate literaryPurpose P22267 FINISHED
Object to organize heroic myth through female descent lines 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: to organize heroic myth through female descent lines | Statement: [Hesiodic Catalogue of Women, literaryPurpose, to organize heroic myth through female descent lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryPurpose
Context triple: [Hesiodic Catalogue of Women, literaryPurpose, to organize heroic myth through female descent lines]
  • A. literaryFeature
    Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
  • B. literarySource
    Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
  • C. literaryLanguage
    Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
  • D. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • E. literaryUnit
    Indicates that one entity is a distinct segment or component (such as a chapter, scene, or passage) within a larger literary work or text.
  • F. None of above. chosen

Provenance (4 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43549008190a4d65efdc3bda520 completed March 1, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69a4b2a42c1481908d940cbe0aefdd3b completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b36064a48190b85c402f32cbadd1 completed March 1, 2026, 9:45 p.m.
Created at: March 1, 2026, 7:40 p.m.