Triple
T17460825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Had Enough |
E425146
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Cashmere Cat |
—
|
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: Cashmere Cat | Statement: [Had Enough, producer, Cashmere Cat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cashmere Cat Context triple: [Had Enough, producer, Cashmere Cat]
-
A.
Cashmere Cat
chosen
Cashmere Cat is a Norwegian DJ, record producer, and musician known for his atmospheric, R&B-influenced electronic music and collaborations with major pop and hip-hop artists.
-
B.
Angora cats
Angora cats are a long-haired, elegant domestic cat breed originating from Turkey, prized for their silky coats, plumed tails, and graceful, affectionate nature.
-
C.
Manx cat
The Manx cat is a distinctive domestic cat breed from the Isle of Man, best known for its naturally occurring taillessness and rounded, sturdy body.
-
D.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
-
E.
Kitty
Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.