Triple
T16291477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darnell Williams |
E395532
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Darnell |
E859430
|
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: Darnell | Statement: [Darnell Williams, givenName, Darnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Context triple: [Darnell Williams, givenName, Darnell]
-
A.
Darnell
chosen
Darnell is a surname of English origin borne by various notable individuals, including the American actress Linda Darnell.
-
B.
Darell
Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
-
C.
Darell
Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
-
D.
Darnell Lewis
Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
-
E.
Denzell
Denzell is a given name that serves as an alternative spelling of the more common name Denzel.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24919345881909ba4e7fe2e59340f |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f97895081909f22ded3507afe14 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.