Triple
T19666070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Green |
E472200
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Alexisonfire |
—
|
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: Alexisonfire | Statement: [Dallas Green, memberOf, Alexisonfire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexisonfire Context triple: [Dallas Green, memberOf, Alexisonfire]
-
A.
Alexisonfire
chosen
Alexisonfire is a Canadian post-hardcore band known for its intense dual-vocal style and influential role in the 2000s alternative music scene.
-
B.
High on Fire
High on Fire is an American heavy metal band known for its aggressive, sludge-influenced sound and powerful, riff-driven songs.
-
C.
Trivium
Trivium is a lightweight synchronous stream cipher designed for efficient hardware implementation and widely studied in modern cryptography.
-
D.
Trivium
Trivium is an American heavy metal band known for blending metalcore and thrash influences with melodic elements and technical guitar work.
-
E.
Edguy
Edguy is a German power metal band known for its melodic, fast-paced songs and humorous, theatrical style led by vocalist Tobias Sammet.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416857c88190acb3adbf3e585fe5 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.