Triple
T15418603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogg Food |
E369313
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Michel’le |
E369311
|
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: Michel’le | Statement: [Dogg Food, featuresArtist, Michel’le]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel’le Context triple: [Dogg Food, featuresArtist, Michel’le]
-
A.
Michel'le
chosen
Michel'le is an American R&B singer known for her distinctive high-pitched speaking voice and late-1980s and early-1990s hits such as "No More Lies."
-
B.
Michaëlle
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
-
C.
Misa Hylton
Misa Hylton is a pioneering American fashion stylist and designer known for shaping the iconic looks of 1990s hip-hop and R&B artists.
-
D.
Micaela Diamond
Micaela Diamond is an American actress and singer best known for her acclaimed performance as Lucille Frank in the 2023 Broadway revival of the musical "Parade."
-
E.
Gloria Michelle
Gloria Michelle is the namesake of the NOAA research vessel NOAA Ship Gloria Michelle.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4546959081909f94449c0028ca3e |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:20 a.m.