Triple

T10868934
Position Surface form Disambiguated ID Type / Status
Subject Book of Songs E256600 entity
Predicate hasAlternativeName P39 FINISHED
Object Classic of Poetry E858646 NE 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: Classic of Poetry | Statement: [Book of Songs, hasAlternativeName, Classic of Poetry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Classic of Poetry
Context triple: [Book of Songs, hasAlternativeName, Classic of Poetry]
  • A. Classic of Poetry chosen
    The Classic of Poetry is the oldest existing collection of Chinese poems and songs, forming one of the Confucian Five Classics and a foundational text of Chinese literature and philosophy.
  • B. Qené poetry
    Qené poetry is a traditional Ethiopian form of improvised, metaphor-rich religious verse known for its layered meanings and use in Orthodox Christian liturgy and education.
  • C. Poems in Praise
    Poems in Praise is a poetry collection by American poet and educator Paul Engle, reflecting his lyrical style and thematic focus on everyday life and human experience.
  • D. Muse of idyllic poetry
    The Muse of idyllic poetry is Thalia, one of the nine Muses in Greek mythology who presides over pastoral and bucolic verse.
  • E. Poetry
    Poetry is a Python dependency management and packaging tool that simplifies creating, building, and publishing Python projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75170665881909944f92c2cdbe7e6 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d9ce3c8190afeb2a27fb82b594 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.