Triple
T3228754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinder |
E67685
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Get Stoned |
E338860
|
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: Get Stoned | Statement: [Hinder, single, Get Stoned]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Stoned Context triple: [Hinder, single, Get Stoned]
-
A.
Get Stoned
chosen
"Get Stoned" is a hard rock song by the American band Hinder, known as one of their early breakout singles.
-
B.
Like a Stone
"Like a Stone" is a melancholic, introspective rock ballad by Audioslave, renowned for Chris Cornell’s haunting vocals and reflective lyrics on mortality and longing.
-
C.
Stoney
Stoney is a surname most notably associated with Levar Stoney, the mayor of Richmond, Virginia.
-
D.
Sticks & Stones
Sticks & Stones is a 2019 stand-up comedy special by Dave Chappelle known for its provocative, boundary-pushing material and controversial social commentary.
-
E.
Grillz
"Grillz" is a 2005 hip hop single by Nelly featuring Paul Wall, Ali & Gipp, known for popularizing jeweled dental grills in mainstream culture.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb6f8588190a33a9d6c779e8992 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2772e3e2081908dec43f8e4a2fb51 |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:08 p.m.