Triple
T6291551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dedication 2 |
E141029
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | DatPiff |
E361727
|
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: DatPiff | Statement: [Dedication 2, distributor, DatPiff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DatPiff Context triple: [Dedication 2, distributor, DatPiff]
-
A.
DatPiff
chosen
DatPiff is an online mixtape distribution platform best known for hosting and streaming hip-hop and rap mixtapes, including many early releases from prominent artists.
-
B.
ZIFA
ZIFA is the Zimbabwe Football Association, the national governing body responsible for overseeing football activities and competitions in Zimbabwe.
-
C.
Petey Pablo
Petey Pablo is an American rapper from North Carolina best known for early-2000s hits like "Raise Up" and "Freek-a-Leek."
-
D.
Tom Papa
Tom Papa is an American stand-up comedian, actor, and radio host known for his observational humor and frequent film and television appearances.
-
E.
Duff
Duff is a common nickname used by British rail enthusiasts for the British Rail Class 47 diesel-electric locomotive.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.