Triple
T20420184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doe or Die II |
E500826
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Baby Paul |
—
|
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: Baby Paul | Statement: [Doe or Die II, producer, Baby Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Paul Context triple: [Doe or Die II, producer, Baby Paul]
-
A.
Baby Paul
chosen
Baby Paul is a hip-hop music producer known for his work with influential rap artists and contributions to classic East Coast records.
-
B.
Baby U
Baby U is an alias of U-God, the American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
C.
Baby John
Baby John was an influential Indian politician from Kerala known for his leadership in the Revolutionary Socialist Party and his long tenure as a legislator and minister.
-
D.
Baby M
Baby M is a 1988 television film dramatizing the landmark American surrogacy court case involving the custody of a child born to a surrogate mother.
-
E.
Papoose
Papoose is an American rapper and songwriter from Brooklyn, New York, known for his mixtapes, lyrical wordplay, and appearances on reality television.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba39f7081909358f1103a0f241c |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.