Triple
T12545329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denzel Curry |
E299950
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Denzel |
E221927
|
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: Denzel | Statement: [Denzel Curry, givenName, Denzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denzel Context triple: [Denzel Curry, givenName, Denzel]
-
A.
Denzel
chosen
Denzel is a masculine given name most famously associated with acclaimed American actor and filmmaker Denzel Washington.
-
B.
Denzel Dion
Denzel Dion is an American social media personality, comedian, and actor known for his viral online content and frequent collaborations with fellow creator Rickey Thompson.
-
C.
Terrence Howard
Terrence Howard is an American actor and singer known for his roles in films like "Hustle & Flow" and the TV series "Empire."
-
D.
Michael Elliot Epps
Michael Elliot Epps is an American stand-up comedian and actor best known for his roles in films like the "Friday" series and numerous comedy specials.
-
E.
Orlando Jones
Orlando Jones was an early 18th-century Virginia planter and colonial official connected to the prominent Jones and Dandridge families.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547f9a1c81908f54c58a116a8446 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655801cac8190b1f9a72f8fed0399 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.