Triple

T18694578
Position Surface form Disambiguated ID Type / Status
Subject Thaleia E457084 entity
Predicate notableBearer P458 FINISHED
Object Thalia (Muse) 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: Thalia (Muse) | Statement: [Thaleia, notableBearer, Thalia (Muse)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thalia (Muse)
Context triple: [Thaleia, notableBearer, Thalia (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. Thalia chosen
    Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
  • C. MUSE
    MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
  • D. MUSE
    MUSE is a coalition of musicians and activists formed to promote safe, renewable energy and oppose nuclear power.
  • E. MUSE
    MUSE is an advanced integral-field spectrograph used in optical astronomy to capture detailed spatial and spectral information from celestial objects.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e66a188190801fd95f9be26042 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.