Triple
T17186228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drums and Guns |
E417114
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object | Zak Sally |
E417099
|
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: Zak Sally | Statement: [Drums and Guns, mainPerformer, Zak Sally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zak Sally Context triple: [Drums and Guns, mainPerformer, Zak Sally]
-
A.
Zak Sally
chosen
Zak Sally is an American musician and cartoonist best known as the former bassist of the indie rock band Low and for his work in alternative comics and small-press publishing.
-
B.
Jimmy Slyde
Jimmy Slyde was an influential American tap dancer renowned for his smooth, gliding style and improvisational jazz-infused performances.
-
C.
Zeek Earl
Zeek Earl is an American filmmaker best known for co-writing and directing the indie science-fiction film "Prospect."
-
D.
Sundray Tucker
Sundray Tucker is an American soul and R&B singer known for her work with groups like the Ordettes (an early version of Patti LaBelle & the Bluebelles) and the Three Degrees.
-
E.
Sam Lash
Sam Lash is a fictional character appearing in the literary work "The Wolf Song."
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017938d5c4819098985b01636f7db5 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:37 a.m.