Triple
T22126091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am |
E546793
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jerry Wonda |
—
|
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: Jerry Wonda | Statement: [I Am, producer, Jerry Wonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Wonda Context triple: [I Am, producer, Jerry Wonda]
-
A.
Jerry Wonda
chosen
Jerry Wonda is a Grammy-winning Haitian-American record producer and bassist best known for his work with the Fugees and numerous major hip-hop and R&B artists.
-
B.
Doug Wimbish
Doug Wimbish is an American bassist and producer best known for his innovative work in funk, rock, and hip hop, including his role in the band Living Colour and extensive session work with numerous major artists.
-
C.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
D.
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
-
E.
Jerry Seeman
Jerry Seeman was a prominent NFL official who served as a referee in multiple Super Bowls and later became the league’s Director of Officiating.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.