Triple
T16765613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquemini |
E407454
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Chonkyfire |
E1198722
|
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: Chonkyfire | Statement: [Aquemini, hasPart, Chonkyfire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chonkyfire Context triple: [Aquemini, hasPart, Chonkyfire]
-
A.
Chonkyfire
chosen
"Chonkyfire" is a standout hip-hop track by OutKast from their acclaimed album "Aquemini," known for its inventive production and dynamic lyricism.
-
B.
Chonks
"Chonks" is a track by the artist Immigrance, likely within the electronic or experimental music genre.
-
C.
Walshy Fire
Walshy Fire is a Jamaican-American DJ, MC, and producer best known as a core member of the electronic dance music group Major Lazer.
-
D.
Chokier
Chokier is a village in Wallonia, Belgium, known for its historic castle overlooking the Meuse River and its status as a district of the municipality of Flémalle in the province of Liège.
-
E.
Chamechaude
Chamechaude is a prominent alpine peak in southeastern France, known for its panoramic views and popularity among hikers and skiers.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abf126408190bd0365eca150f745 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.