Triple

T22535587
Position Surface form Disambiguated ID Type / Status
Subject Coming of Age E557144 entity
Predicate producer P490 FINISHED
Object Mahogany 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: Mahogany | Statement: [Coming of Age, producer, Mahogany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahogany
Context triple: [Coming of Age, producer, Mahogany]
  • A. Mahogany chosen
    Mahogany is a music producer known for contributing to Mariah Carey's work, including on her album "The Emancipation of Mimi."
  • B. Mahogany
    Mahogany is a 1975 romantic drama film starring Diana Ross, noted for its fashion-world setting and popular soundtrack.
  • C. Mahogany
    Mahogany is a residential neighbourhood in the suburban community of Manotick, located in Ottawa, Ontario, Canada.
  • D. Mahogany
    Mahogany is a song featured on the album "Songs for Polarbears" by the band Snow Patrol.
  • E. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15edad0248190b990ddffbc786e05 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.