Triple

T19964987
Position Surface form Disambiguated ID Type / Status
Subject Tenth Muse E479907 entity
Predicate associatedWith P37 FINISHED
Object nine Muses NE NERFINISHED

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: nine Muses | Statement: [Tenth Muse, associatedWith, nine Muses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: nine Muses
Context triple: [Tenth Muse, associatedWith, nine Muses]
  • A. Nine Muses chosen
    The Nine Muses are the goddesses of inspiration in Greek mythology, each presiding over a different art or science such as epic poetry, history, music, and dance.
  • B. Loona
    Loona is a celebrated Punjabi epic verse play by Shiv Kumar Batalvi that reimagines the traditional legend of Puran Bhagat from the perspective of the vilified stepmother, Loona.
  • C. Davichi
    Davichi is a South Korean female pop ballad duo known for their powerful vocals and numerous hit OST and chart-topping songs.
  • D. Malasiqui
    Malasiqui is a landlocked, agriculture-based municipality located in the province of Pangasinan in the Philippines.
  • E. N-JOY
    N-JOY is a German public radio station aimed primarily at young listeners, offering contemporary music, entertainment, and information across northern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc4417c8190912f3d85fd7a5a32 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.