Triple
T16291476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darnell Williams |
E395532
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Darnell Williams |
E395532
|
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 Williams | Statement: [Darnell Williams, name, Darnell Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Williams Context triple: [Darnell Williams, name, Darnell Williams]
-
A.
Darnell Williams
chosen
Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
-
B.
Darnell Martin
Darnell Martin is an American film and television director and screenwriter known for works such as "I Like It Like That" and various high-profile TV episodes.
-
C.
Darnell Scott
Darnell Scott is a music producer best known for his work on The Notorious B.I.G.’s landmark debut album "Ready to Die."
-
D.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
-
E.
Haason Reddick
Haason Reddick is an American professional football linebacker known for his pass-rushing prowess in the NFL.
- 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.