Triple
T3930132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odelay |
E93373
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Devils Haircut |
E399278
|
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: Devils Haircut | Statement: [Odelay, notableSingle, Devils Haircut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devils Haircut Context triple: [Odelay, notableSingle, Devils Haircut]
-
A.
Devils Haircut
chosen
"Devils Haircut" is a hit alternative rock song by Beck, known for its sample-heavy production and distinctive, surreal lyrics.
-
B.
Cut Your Hair
"Cut Your Hair" is an indie rock song by the American band Pavement, known for its catchy melody and satirical take on music industry image and commercialization.
-
C.
Almost Cut My Hair
"Almost Cut My Hair" is a 1970 countercultural rock song by Crosby, Stills, Nash & Young, known for its raw, improvised feel and themes of personal freedom and rebellion.
-
D.
Devils Playground
Devils Playground is a remote, arid expanse of sand dunes and desert terrain located within California’s Mojave Desert.
-
E.
Blow Dry
Blow Dry is a 2001 British comedy-drama film set around a national hairdressing competition, starring Alan Rickman, Natasha Richardson, and Rachel Griffiths.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5338afa348190bc5ac0b0319c6e45 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:23 p.m.