Triple

T4835508
Position Surface form Disambiguated ID Type / Status
Subject Terpsichore E108047 entity
Predicate hasRomanEquivalent P36249 FINISHED
Object Terpsichore E108047 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: Terpsichore | Statement: [Terpsichore, hasRomanEquivalent, Terpsichore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terpsichore
Context triple: [Terpsichore, hasRomanEquivalent, Terpsichore]
  • A. Terpsichore chosen
    Terpsichore is the Muse in Greek mythology associated primarily with dance and choral song.
  • B. Melpomene
    Melpomene is the Muse of tragedy in Greek mythology, traditionally depicted with a tragic mask and often associated with solemn theatrical arts.
  • C. Polyhymnia
    Polyhymnia is the Muse in Greek mythology associated especially with sacred hymns, divine music, and religious poetry.
  • D. Cassiphone
    Cassiphone is a lesser-known figure from Greek mythology, identified as a daughter of the sorceress Circe.
  • E. Athenodora
    Athenodora is a vampire in the Twilight series, known as one of the ancient female leaders of the Volturi coven.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7e252c88190be9796ab9bf174c8 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:25 p.m.