Triple
T11314509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Byrd |
E267929
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Slow Drag |
E780263
|
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: Slow Drag | Statement: [Donald Byrd, notableWork, Slow Drag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Drag Context triple: [Donald Byrd, notableWork, Slow Drag]
-
A.
Slow Drag
chosen
Slow Drag is a traditional blues and jazz dance style characterized by its slow tempo, close embrace, and smooth, dragging steps.
-
B.
Slow Show
"Slow Show" is a reflective, emotionally charged indie rock song by The National from their acclaimed 2007 album *Boxer*.
-
C.
Slow
"Slow" is a 2003 electro-pop single by Australian singer Kylie Minogue, known for its minimalist production, sultry style, and critical acclaim as one of her signature songs.
-
D.
Drive Slow
"Drive Slow" is a reflective hip-hop track by Kanye West featuring Paul Wall and GLC, known for its laid-back production and cautionary lyrics about fame and street life.
-
E.
Slowness
Slowness is a philosophical novel by Milan Kundera that intertwines themes of memory, desire, and the contrast between modern haste and contemplative living.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a910a2c8190b8afd4c988e64141 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.