Triple
T1864510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrodisiac |
E34889
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Warryn Campbell |
E110893
|
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: Warryn Campbell | Statement: [Afrodisiac, producer, Warryn Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warryn Campbell Context triple: [Afrodisiac, producer, Warryn Campbell]
-
A.
Warryn Campbell
chosen
Warryn Campbell is an American record producer, songwriter, and multi-instrumentalist known for his work across hip hop, R&B, and gospel with artists such as Kanye West, Mary Mary, and Alicia Keys.
-
B.
Luke McRedmond
Luke McRedmond was an early settler and prominent local figure after whom the city of Redmond, Washington, was named.
-
C.
Andy Campbell
Andy Campbell is the mild-mannered high school English teacher protagonist of the comedy film "Fist Fight," who gets reluctantly drawn into a showdown with a tougher colleague.
-
D.
Keith Teare
Keith Teare is a British technology entrepreneur best known as a co-founder of the influential tech news site TechCrunch.
-
E.
Damien Parer
Damien Parer was an acclaimed Australian war cinematographer best known for his frontline footage during World War II, particularly the Academy Award–winning documentary "Kokoda Front Line!".
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfba49f0c8190a6db188f201a6da6 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.