Triple

T10260898
Position Surface form Disambiguated ID Type / Status
Subject Theme from Mahogany (Do You Know Where You’re Going To) E240590 entity
Predicate themeSongOf P14687 FINISHED
Object Mahogany E852416 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: Mahogany | Statement: [Theme from Mahogany (Do You Know Where You’re Going To), themeSongOf, Mahogany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahogany
Context triple: [Theme from Mahogany (Do You Know Where You’re Going To), themeSongOf, Mahogany]
  • A. Mahogany chosen
    Mahogany is a 1975 romantic drama film starring Diana Ross, noted for its fashion-world setting and popular soundtrack.
  • B. Mahogany
    Mahogany is a music producer known for contributing to Mariah Carey's work, including on her album "The Emancipation of Mimi."
  • C. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • D. Touchwood
    Touchwood is a large modern shopping and leisure centre in Solihull, England, featuring a wide range of retail stores, restaurants, and entertainment facilities.
  • E. Sakao
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25bc7f88190b7e83243894d1aeb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cdcdf8c81909f5a2be1c3aa03a0 completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:32 a.m.