Triple
T10621908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Warm Up |
E250221
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Bink! |
E24991
|
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: Bink! | Statement: [The Warm Up, hasProducer, Bink!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bink! Context triple: [The Warm Up, hasProducer, Bink!]
-
A.
Bink!
chosen
Bink! is an American hip-hop record producer known for his soulful, hard-hitting beats and work with artists such as Jay-Z, Kanye West, and Rick Ross.
-
B.
Bli-Blip
"Bli-Blip" is a jazz song composed by Duke Ellington with lyrics by Sid Kuller, known for its playful, rhythmically intricate vocal lines and scat-like syllables.
-
C.
Birwinken
Birwinken is a rural municipality in the canton of Thurgau in northeastern Switzerland, known for its agricultural landscape and small-village character.
-
D.
Bubbles
Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
-
E.
Bubbles
Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:50 p.m.