Triple
T20054726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traci Braxton |
E499296
|
entity |
| Predicate | debutStudioAlbum |
P3278
|
FINISHED |
| Object | Crash & Burn |
—
|
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: Crash & Burn | Statement: [Traci Braxton, debutStudioAlbum, Crash & Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crash & Burn Context triple: [Traci Braxton, debutStudioAlbum, Crash & Burn]
-
A.
Crash & Burn
Crash & Burn is a psychological crime thriller novel by bestselling American author Lisa Gardner, featuring a complex investigation into a woman’s mysterious accidents and missing memories.
-
B.
Crash & Burn
chosen
"Crash & Burn" is an R&B album by American singer and reality television personality Traci Braxton, showcasing her solo music career.
-
C.
Crash and Burn
"Crash and Burn" is a song by American singer-songwriter Sheryl Crow from her 1998 album *The Globe Sessions*, blending rock and pop influences with introspective lyrics.
-
D.
Cra$h & Burn
Cra$h & Burn is a creative work associated with Roxanne Lee, recognized as one of her notable contributions.
-
E.
The Crash
The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66331c7488190840d43792ff09977 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.