Triple

T4835480
Position Surface form Disambiguated ID Type / Status
Subject Terpsichore E108047 entity
Predicate memberOf P10 FINISHED
Object the Nine Muses E18781 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: the Nine Muses | Statement: [Terpsichore, memberOf, the Nine Muses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Nine Muses
Context triple: [Terpsichore, memberOf, the Nine Muses]
  • A. the Muses chosen
    The Muses are the Greek goddesses of inspiration for the arts, literature, and sciences, traditionally regarded as patrons of creativity and learning.
  • B. the Muse
    The Muse is a divine source of artistic inspiration in Greek mythology, often invoked by poets and musicians as the origin of their creative gifts.
  • C. Tenth Muse
    The "Tenth Muse" is an honorific epithet celebrating Sappho as an almost divine poet whose genius was deemed worthy of joining the nine classical Muses of Greek mythology.
  • D. The Muse
    The Muse is a 1999 comedy film written, directed by, and starring Albert Brooks as a struggling screenwriter who seeks inspiration from a modern-day muse played by Sharon Stone.
  • E. the Sirens
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • 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_69be81b042e48190b9f930504e9e21de completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:25 p.m.