Triple
T15964331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soular Energy |
E387144
|
entity |
| Predicate | drummer |
P15280
|
FINISHED |
| Object | Gerryck King |
E1187123
|
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: Gerryck King | Statement: [Soular Energy, drummer, Gerryck King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerryck King Context triple: [Soular Energy, drummer, Gerryck King]
-
A.
Gerryck King
chosen
Gerryck King is a musician best known for his work as a performer with the band Soular Energy.
-
B.
Darius Guppy
Darius Guppy is a British businessman and convicted fraudster best known for his involvement in an insurance scam and his controversial connections within the UK establishment.
-
C.
Kenny Gage
Kenny Gage is a film director and screenwriter known for his work in action and thriller movies.
-
D.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
-
E.
Jeff King
Jeff King is a former American professional baseball player and infielder who played in Major League Baseball during the late 1980s and 1990s, primarily for the Pittsburgh Pirates and Kansas City Royals.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572475948190af0e3b12de0f6cea |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c5a7d48190891e69314e67e9af |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.