Triple
T13718157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Documentary |
E328956
|
entity |
| Predicate | featuredArtist |
P997
|
FINISHED |
| Object | Tony Yayo |
E603382
|
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: Tony Yayo | Statement: [The Documentary, featuredArtist, Tony Yayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Yayo Context triple: [The Documentary, featuredArtist, Tony Yayo]
-
A.
Tony Yayo
chosen
Tony Yayo is an American rapper best known as a member of 50 Cent’s hip hop group G-Unit.
-
B.
Timaya
Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
-
C.
Tony Imi
Tony Imi was a British cinematographer known for his work on feature films and television, including the drama "International Velvet."
-
D.
Yung Gud
Yung Gud is a Swedish producer and DJ best known for his atmospheric, melancholic beats and frequent collaborations with rapper Yung Lean as part of the Sad Boys collective.
-
E.
Ayo The Producer
Ayo The Producer is a hip-hop music producer best known for his work on Kanye West’s song “Follow God.”
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5a23bc8190942568658665bbb0 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.