Triple

T18083504
Position Surface form Disambiguated ID Type / Status
Subject The Mirror E432762 entity
Predicate title P38 FINISHED
Object The Mirror 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: The Mirror | Statement: [The Mirror, title, The Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mirror
Context triple: [The Mirror, title, The Mirror]
  • A. The Mirror
    "The Mirror" is a song by the rock band Rebel Soul, known for its introspective lyrics and emotive, guitar-driven sound.
  • B. The Mirror
    The Mirror is a painting by Irish artist William Orpen, known for its refined realism and psychological insight into its sitter.
  • C. The Mirror
    The Mirror is an episode title that likely belongs to a serialized narrative, such as a television show or audio drama, known for its reflective or introspective themes.
  • D. The Great Mirror
    The Great Mirror is an 11th–12th century Japanese historical tale (rekishi monogatari) that recounts the lives and politics of emperors and courtiers from the 9th to 11th centuries in a reflective, narrative style.
  • E. The Mirror Has Two Faces
    The Mirror Has Two Faces is a 1996 romantic comedy-drama film directed by and starring Barbra Streisand, featuring Lauren Bacall in an acclaimed supporting role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fc0c808190980c7364cf1a9398 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.