Triple
T14651216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MadGibbs |
E343988
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Flat Tummy Tea |
E1110524
|
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: Flat Tummy Tea | Statement: [MadGibbs, hasSingle, Flat Tummy Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flat Tummy Tea Context triple: [MadGibbs, hasSingle, Flat Tummy Tea]
-
A.
Flat Tummy Tea
chosen
"Flat Tummy Tea" is a song by rapper Bandana, likely themed around contemporary wellness culture and body image trends.
-
B.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
-
C.
Tea-Bag
"Tea-Bag" is a socially conscious novel by Swedish crime writer Henning Mankell that explores immigration, identity, and marginalization in contemporary Europe.
-
D.
Tee-Y Mix
Tee-Y Mix is a prominent Nigerian music producer and sound engineer known for crafting hit songs across Afrobeats and contemporary African pop.
-
E.
POM Wonderful
POM Wonderful is a beverage company best known for its pomegranate-based juices and aggressive health-focused marketing.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb517e7648190b9fc73d6cdbb68de |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d9ab188190934deb57fd6d9a56 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.