Triple
T20089711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Braxtons |
E496234
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | So Many Ways |
—
|
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: So Many Ways | Statement: [The Braxtons, notableWork, So Many Ways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Many Ways Context triple: [The Braxtons, notableWork, So Many Ways]
-
A.
So Many Ways
So Many Ways is a Thoroughbred racehorse known for her success on the American racing circuit.
-
B.
So Many Ways
chosen
"So Many Ways" is a music single released under the independent label Ode Records.
-
C.
How Many Ways
"How Many Ways" is an R&B song by American singer Toni Braxton, released as a single from her self-titled debut album.
-
D.
Some Way
"Some Way" is a hip-hop track by Nav that helped raise his profile in the rap scene with its melodic style and introspective lyrics.
-
E.
Just A Way
Just A Way is a Japanese Thoroughbred racehorse famed for its dominant international performances and recognition as one of the world’s top-rated horses during its peak.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655e1ef0819095f40a1ce2eb17b7 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:19 p.m.