Triple
T15752561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish You Well |
E381881
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
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.
|
E1176440
|
NE FINISHED |
How this triple was built (4 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 Martin | Statement: [Wish You Well, director, Darnell Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Martin Context triple: [Wish You Well, director, Darnell Martin]
-
A.
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."
-
B.
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."
-
C.
Tyrell Martin
Tyrell Martin is an individual known primarily for being associated with Karla Wilson in a shared appearance or collaboration.
-
D.
Darnell Earley
Darnell Earley is an American public administrator best known for his controversial role overseeing Flint, Michigan, during the period leading up to the city's water crisis.
-
E.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Darnell Martin Triple: [Wish You Well, director, Darnell Martin]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darnell Martin Target entity description: 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.
-
A.
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."
-
B.
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."
-
C.
Tyrell Martin
Tyrell Martin is an individual known primarily for being associated with Karla Wilson in a shared appearance or collaboration.
-
D.
Darnell Earley
Darnell Earley is an American public administrator best known for his controversial role overseeing Flint, Michigan, during the period leading up to the city's water crisis.
-
E.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
- F. None of above. chosen
Provenance (5 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff92c07f60819089c3faeea98e329c |
completed | May 9, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9383ff1c81909e34995818a3c3f7 |
completed | May 9, 2026, 8:05 p.m. |
Created at: April 10, 2026, 4:47 a.m.