Triple

T4917701
Position Surface form Disambiguated ID Type / Status
Subject Demodocus E110387 entity
Predicate inspiredBy P9 FINISHED
Object the Muse 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 Muse | Statement: [Demodocus, inspiredBy, the Muse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Muse
Context triple: [Demodocus, inspiredBy, the Muse]
  • A. 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.
  • B. MUSE
    MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
  • C. MUSE
    MUSE is an advanced integral-field spectrograph used in optical astronomy to capture detailed spatial and spectral information from celestial objects.
  • D. The Disquieting Muses
    "The Disquieting Muses" is a poem by Sylvia Plath that explores themes of alienation, creativity, and haunting maternal figures, inspired by Giorgio de Chirico’s surrealist painting of the same name.
  • E. 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.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.