Triple
T11937262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feelings |
E284076
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Luaka Bop |
E954926
|
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: Luaka Bop | Statement: [Feelings, recordLabel, Luaka Bop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luaka Bop Context triple: [Feelings, recordLabel, Luaka Bop]
-
A.
Luaka Bop
chosen
Luaka Bop is an independent record label founded by musician David Byrne, known for releasing eclectic and globally influenced music.
-
B.
Bangarang
Bangarang is a popular electronic dance music EP and title track by American producer Skrillex, known for its aggressive dubstep sound and high-energy production.
-
C.
Plantasia
Plantasia is a large tropical botanical garden and rainforest attraction located in Swansea, Wales, featuring exotic plants and animals within a climate-controlled glasshouse.
-
D.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
E.
Mambo Mouth
Mambo Mouth is a one-man off-Broadway stage show by John Leguizamo in which he portrays multiple Latino characters in a fast-paced, comedic performance.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903094218819092e11b273d87de65 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a729de88190960be2d16487a620 |
completed | May 1, 2026, 11:11 a.m. |
Created at: April 8, 2026, 9:45 p.m.