Triple
T15273093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brise-Glace |
E365067
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Cheer-Accident |
E362336
|
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: Cheer-Accident | Statement: [Brise-Glace, associatedAct, Cheer-Accident]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheer-Accident Context triple: [Brise-Glace, associatedAct, Cheer-Accident]
-
A.
Cheer-Accident
chosen
Cheer-Accident is an experimental rock band from Chicago known for its avant-garde, genre-blurring compositions and long-standing presence in the underground music scene.
-
B.
Axident
Axident is a Norwegian record producer and songwriter known for crafting pop and electronic hits for international artists.
-
C.
Cheerleader
"Cheerleader" is a song by the American indie rock band Grizzly Bear from their critically acclaimed 2009 album *Veckatimest*.
-
D.
The Accident
The Accident is a semi-autobiographical novel by Elie Wiesel that explores trauma, survival, and identity in the aftermath of the Holocaust.
-
E.
The Accident
The Accident is a British television drama series in which Abigail Cruttenden appears, centered on the aftermath of a devastating industrial disaster in a small Welsh town.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6069f488190b74793200e5698ff |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.