Triple

T9665857
Position Surface form Disambiguated ID Type / Status
Subject To Autumn E233701 entity
Predicate focusOfStanza2 P35814 FINISHED
Object personified figure of autumn amid harvest — 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: personified figure of autumn amid harvest | Statement: [To Autumn, focusOfStanza2, personified figure of autumn amid harvest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusOfStanza2
Context triple: [To Autumn, focusOfStanza2, personified figure of autumn amid harvest]
  • A. focusOf
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • B. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. focusPosition
    Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
  • D. secondPartFocus chosen
    Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
  • E. focusFeature
    Indicates that one entity is the primary or emphasized feature, aspect, or attribute being highlighted or concentrated on in relation to another.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:14 p.m.