Triple
T23005062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music House |
E572740
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Random Axe |
—
|
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: Random Axe | Statement: [Music House, associatedAct, Random Axe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Random Axe Context triple: [Music House, associatedAct, Random Axe]
-
A.
Random Axe
chosen
Random Axe is an underground hip-hop supergroup known for its gritty, hard-hitting sound, featuring rapper Guilty Simpson, rapper/producer Black Milk, and rapper Sean Price.
-
B.
The Axe
The Axe is a novel by Sigrid Undset that forms part of her medieval Norwegian saga cycle "The Master of Hestviken."
-
C.
The Axe
The Axe is the nickname of South African former professional footballer Aaron Mokoena, renowned for his tough, hard-tackling defensive style.
-
D.
The Ax
The Ax is a darkly comic crime novel by Donald E. Westlake about a downsized executive who turns to murder to eliminate his job-market rivals.
-
E.
AxeKidd
AxeKidd is a music producer known for contributing to Doja Cat’s acclaimed album "Planet Her."
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18356417881908c8d6ee56bdc85f5 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.