Triple
T7293679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Chamberlain |
E164460
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Macy Gray |
E198954
|
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: Macy Gray | Statement: [Matt Chamberlain, associatedAct, Macy Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macy Gray Context triple: [Matt Chamberlain, associatedAct, Macy Gray]
-
A.
Macy Gray
chosen
Macy Gray is an American R&B and soul singer-songwriter known for her distinctive raspy voice and her hit single "I Try."
-
B.
Melissa Etheridge
Melissa Etheridge is an American rock singer-songwriter and guitarist known for her raspy vocals, confessional lyrics, and hits such as "Come to My Window" and "I'm the Only One."
-
C.
Diana DeGarmo
Diana DeGarmo is an American singer and actress who gained fame as a standout contestant on the third season of the television show American Idol.
-
D.
Anita Baker
Anita Baker is an American singer-songwriter renowned for her smooth, soulful R&B ballads and multiple Grammy Award-winning career, especially prominent in the 1980s and early 1990s.
-
E.
Elissa Landi
Elissa Landi was an Italian-born British actress of the 1920s and 1930s, known for her sophisticated screen presence in Hollywood historical and romantic dramas.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53faa0481909758a7366cbbe99f |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.