Triple
T9144988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Cream |
E219429
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Nigo |
E332333
|
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: Nigo | Statement: [Ice Cream, associatedWith, Nigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigo Context triple: [Ice Cream, associatedWith, Nigo]
-
A.
Nigo
chosen
Nigo is a Japanese fashion designer, DJ, and record producer best known as the founder of the streetwear brand A Bathing Ape (BAPE) and for his influential role in bridging hip-hop culture and fashion.
-
B.
Kayo Washio
Kayo Washio is a Japanese television and film producer best known for her executive production work on the crime drama series "Tokyo Vice."
-
C.
Gesaffelstein
Gesaffelstein is a French electronic music producer and DJ known for his dark, industrial techno sound and collaborations with major artists like Kanye West.
-
D.
Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
-
E.
Tony Yayo
Tony Yayo is an American rapper best known as a member of 50 Cent’s hip hop group G-Unit.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9166d308190a742ae68371439ee |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065c6fcc081908298dd12477c2345 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:19 p.m.