Triple
T22429823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timuel Black |
E554468
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Black |
—
|
NE NERFINISHED |
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: Black | Statement: [Timuel Black, familyName, Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Context triple: [Timuel Black, familyName, Black]
-
A.
Black
Black was the stage name of English singer-songwriter Colin Vearncombe, best known for his 1987 hit single "Wonderful Life."
-
B.
Black
chosen
Black is a common English-language surname borne by numerous notable individuals across diverse fields.
-
C.
Black
"Black" is a critically acclaimed 2005 Indian drama film directed by Sanjay Leela Bhansali, known for its powerful performances and portrayal of a deaf-blind girl's relationship with her teacher.
-
D.
Black
Black is a racial and ethnic identity commonly associated with people of African descent and the African diaspora worldwide.
-
E.
Black
"Black" is a 2015 Belgian crime drama film by Adil El Arbi and Bilall Fallah that portrays the violent clash between rival youth gangs in Brussels and a forbidden romance at its center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a30109481908724a0cf7596d105 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.