Triple
T14081227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take It to the Limit |
E338872
|
entity |
| Predicate | byArtist |
P5936
|
FINISHED |
| Object | Hinder |
E67685
|
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: Hinder | Statement: [Take It to the Limit, byArtist, Hinder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinder Context triple: [Take It to the Limit, byArtist, Hinder]
-
A.
Hinder
chosen
Hinder is an American rock band best known for their mid-2000s hit "Lips of an Angel" and their post-grunge, hard rock sound.
-
B.
Puddle of Mudd
Puddle of Mudd is an American post-grunge rock band best known for early-2000s hits like "Blurry," "She Hates Me," and "Control."
-
C.
Seether
Seether is a South African rock band known for its post-grunge and alternative metal sound and hits like "Broken" and "Remedy."
-
D.
Godsmack
Godsmack is an American hard rock and alternative metal band known for hits like "I Stand Alone" and "Voodoo" and for their aggressive, riff-driven sound.
-
E.
Papa Roach
Papa Roach is an American rock band best known for their early 2000s nu metal and alternative rock hits like "Last Resort."
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db6187c8190969b035bc2813413 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 9, 2026, 10:21 p.m.