Triple
T13601129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gnarls Barkley |
E324942
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Danger Doom |
E550136
|
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: Danger Doom | Statement: [Gnarls Barkley, associatedAct, Danger Doom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danger Doom Context triple: [Gnarls Barkley, associatedAct, Danger Doom]
-
A.
Danger Doom
chosen
Danger Doom is a hip-hop duo consisting of producer Danger Mouse and rapper MF DOOM, known for their cartoon-inspired concept album "The Mouse and the Mask."
-
B.
Mayhem
Mayhem is a pioneering Norwegian black metal band known for its influential yet controversial role in shaping the early 1990s black metal scene.
-
C.
Mayhem
Mayhem is a 2017 action-horror film in which Steven Yeun plays a corporate employee trapped in a quarantined office building where a virus unleashes violent chaos among workers.
-
D.
Mayhem
Mayhem is a professional ice hockey team based in Macon, Georgia, competing in the Southern Professional Hockey League.
-
E.
Holy Terror
Holy Terror is a controversial graphic novel by Frank Miller, published by Legendary Comics, that follows a superhero-style vigilante battling Islamic terrorists.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bcde38c8190bc773c3afce75723 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.