Triple
T21251931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Days Grace |
E523765
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Break
"Break" is a hard rock single by Canadian band Three Days Grace, known for its anthemic chorus and themes of breaking free from constraints.
|
E1474475
|
NE FINISHED |
How this triple was built (4 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: Break | Statement: [Three Days Grace, notableWork, Break]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Break Context triple: [Three Days Grace, notableWork, Break]
-
A.
Breaking
Breaking is a 2022 American thriller drama film based on a true story, starring John Boyega as a troubled veteran who takes hostages in a bank.
-
B.
Breaking
"Breaking" is a song featured on the album "New Surrender" by the American rock band Anberlin.
-
C.
breaking
Breaking is a competitive, acrobatic street dance style that has evolved into an international sport featured at major urban and multi-sport events.
-
D.
Breaktime
Breaktime is a young adult novel by Aidan Chambers that explores adolescence, friendship, and self-discovery through an experimental, introspective narrative.
-
E.
Brechen
Brechen is a municipality in the Limburg-Weilburg district of Hesse, Germany, known for its rural character and proximity to the town of Limburg an der Lahn.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Break Triple: [Three Days Grace, notableWork, Break]
Generated description
"Break" is a hard rock single by Canadian band Three Days Grace, known for its anthemic chorus and themes of breaking free from constraints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Break Target entity description: "Break" is a hard rock single by Canadian band Three Days Grace, known for its anthemic chorus and themes of breaking free from constraints.
-
A.
Breaking
Breaking is a 2022 American thriller drama film based on a true story, starring John Boyega as a troubled veteran who takes hostages in a bank.
-
B.
Breaking
"Breaking" is a song featured on the album "New Surrender" by the American rock band Anberlin.
-
C.
breaking
Breaking is a competitive, acrobatic street dance style that has evolved into an international sport featured at major urban and multi-sport events.
-
D.
Breaktime
Breaktime is a young adult novel by Aidan Chambers that explores adolescence, friendship, and self-discovery through an experimental, introspective narrative.
-
E.
Brechen
Brechen is a municipality in the Limburg-Weilburg district of Hesse, Germany, known for its rural character and proximity to the town of Limburg an der Lahn.
- F. None of above. chosen
Provenance (5 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359e90d881909b3153f1e7213c5c |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098ff3bca481909d264dce786d261d |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a099107de508190b4d3d864c33cf7d8 |
completed | May 17, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991bc8370819087b205185299acce |
completed | May 17, 2026, 10 a.m. |
Created at: April 16, 2026, 3:57 p.m.