Triple
T7495392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vondie Curtis-Hall |
E177110
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Waist Deep |
E331428
|
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: Waist Deep | Statement: [Vondie Curtis-Hall, notableWork, Waist Deep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waist Deep Context triple: [Vondie Curtis-Hall, notableWork, Waist Deep]
-
A.
Waist Deep
chosen
Waist Deep is a 2006 action-crime drama film about an ex-convict’s desperate attempt to rescue his kidnapped son amid gang violence in Los Angeles.
-
B.
6 Feet Deep
6 Feet Deep is a pioneering mid-1990s horrorcore hip-hop album by the group Gravediggaz, known for its dark humor, macabre themes, and influential production.
-
C.
Dig Deep
"Dig Deep" is a song included on the album "Bombshell."
-
D.
Out of My Depth
Out of My Depth is a memoir by Anne Darwin recounting her involvement in and perspective on the infamous "canoe man" insurance fraud scandal orchestrated by her husband John Darwin.
-
E.
Ocean Deep
Ocean Deep is an episode of the documentary series "Planet Earth" that explores the mysterious and extreme environments of the world's deepest oceans and the unique life forms that inhabit them.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c819f00819087fef27e4f4fdc1c |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:43 p.m.