Triple
T22299674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Carey |
E551221
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lusk |
—
|
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: Lusk | Statement: [Danny Carey, associatedAct, Lusk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lusk Context triple: [Danny Carey, associatedAct, Lusk]
-
A.
Lusk
Lusk is a small town in north County Dublin, Ireland, known for its historic medieval tower and rural village character.
-
B.
Lusk
chosen
Lusk was a short-lived experimental rock supergroup formed in the mid-1990s, known for its psychedelic, avant-garde sound and featuring members from bands like Tool and Failure.
-
C.
Burkley
Burkley is a surname most notably associated with American character actor Dennis Burkley.
-
D.
Berrigan
Berrigan is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and historic country character.
-
E.
McInnerny
McInnerny is the surname of British actor Tim McInnerny, known for his roles in the Blackadder television series and various film and stage productions.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15722c3348190b63eb49764ef132d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.