Triple
T22582618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twinkie |
E544604
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Bow Wow |
—
|
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: Bow Wow | Statement: [Twinkie, portrayedBy, Bow Wow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bow Wow Context triple: [Twinkie, portrayedBy, Bow Wow]
-
A.
Bow Wow
chosen
Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
-
B.
Bow Wow Wow
Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
-
C.
Mr. Bow Wow
Mr. Bow Wow is a satirical short story by Iranian writer Sadegh Hedayat that critiques social and cultural norms through dark humor and absurd situations.
-
D.
Booty Brown
Booty Brown is an American rapper and member of the alternative hip hop group The Pharcyde, known for his distinctive voice and contributions to the 1990s West Coast underground scene.
-
E.
Petey Pablo
Petey Pablo is an American rapper from North Carolina best known for early-2000s hits like "Raise Up" and "Freek-a-Leek."
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff26d6481908cc058f8c4b87e75 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.