Triple
T21552657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do You Know Where You're Going To |
E531803
|
entity |
| Predicate | themeOf |
P380
|
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: [Do You Know Where You're Going To, themeOf, Mahogany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahogany Context triple: [Do You Know Where You're Going To, themeOf, Mahogany]
-
A.
Mahogany
Mahogany is a music producer known for contributing to Mariah Carey's work, including on her album "The Emancipation of Mimi."
-
B.
Mahogany
chosen
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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59375f481909d9e2b66d18c7c32 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:29 p.m.