Triple
T16198157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Hickey |
E393122
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Darnell Turner |
E350884
|
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 Turner | Statement: [Earl Hickey, hasFriend, Darnell Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Turner Context triple: [Earl Hickey, hasFriend, Darnell Turner]
-
A.
Darnell Turner
chosen
Darnell Turner is a laid-back, enigmatic friend of Earl Hickey on the sitcom "My Name Is Earl," known for his secretive past and unexpectedly wise demeanor.
-
B.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
-
C.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
D.
Darnell Williams
Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
-
E.
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.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecf454081909660f4ab9c556ddc |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.