Triple
T4338432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrese Gibson |
E97519
|
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: [Tyrese Gibson, notableWork, Waist Deep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waist Deep Context triple: [Tyrese Gibson, 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.
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.
-
D.
In Too Deep
In Too Deep is a 1999 crime thriller film about an undercover cop infiltrating a powerful drug syndicate, in which Michael Beach plays a supporting role.
-
E.
Wishing Well
Wishing Well is a popular underground pool feature in Luray Caverns where visitors toss coins while making wishes, with the collected money often donated to charity.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516dffb48190878f81ffe71a5e82 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0af82888190bed294bdec942f4a |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.