Triple
T17679092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phat Fashions LLC |
E440719
|
entity |
| Predicate | hasCoreBrand |
P108945
|
FINISHED |
| Object | Phat Farm |
—
|
NE NERFINISHED |
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: Phat Farm | Statement: [Phat Fashions LLC, hasCoreBrand, Phat Farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phat Farm Context triple: [Phat Fashions LLC, hasCoreBrand, Phat Farm]
-
A.
Phat Farm
chosen
Phat Farm is a pioneering urban fashion and lifestyle brand that helped popularize hip-hop-influenced streetwear in mainstream American culture.
-
B.
Snow Farm
Snow Farm is a cross-country ski area and snow sports resort located in the mountains near Lake Wanaka on New Zealand’s South Island.
-
C.
Phat Rabbit
"Phat Rabbit" is a track by rapper Ludacris featured on his debut major-label album "Back for the First Time."
-
D.
Fatman Scoop
Fatman Scoop is an American hype man, rapper, and radio personality best known for his booming voice and energetic club anthems like the hit single "Be Faithful."
-
E.
Phat Kat
Phat Kat is a Detroit rapper known for his collaborations with producer J Dilla and his influential role in the city’s underground hip-hop scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.