Triple
T15225030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I See a Darkness |
E363854
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Black |
E139334
|
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: Black | Statement: [I See a Darkness, hasTrack, Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Context triple: [I See a Darkness, hasTrack, Black]
-
A.
Black
Black is a nominative report series of early United States Supreme Court decisions compiled and published under the name of the court reporter Black.
-
B.
Black
Black is a common English-language surname borne by numerous notable individuals across diverse fields.
-
C.
Black
chosen
"Black" is a widely acclaimed, emotionally intense rock ballad by Pearl Jam, known for its raw vocals and themes of love and loss.
-
D.
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.
-
E.
Black
Black is a racial and ethnic identity commonly associated with people of African descent and the African diaspora worldwide.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd35ae348190beb1b113bfc66ab3 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.