Triple
T23052423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Is Hip? |
E574053
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Stephen Kupka |
—
|
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: Stephen Kupka | Statement: [What Is Hip?, performer, Stephen Kupka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Kupka Context triple: [What Is Hip?, performer, Stephen Kupka]
-
A.
Stephen Kupka
chosen
Stephen Kupka is an American baritone saxophonist and songwriter best known as a founding member and key composer for the funk and soul band Tower of Power.
-
B.
Paul Krendler
Paul Krendler is a corrupt and antagonistic U.S. Justice Department official who serves as a key foil to Clarice Starling in the film "Hannibal."
-
C.
Peter Teichner
Peter Teichner is a German mathematician known for his work in topology and its connections to mathematical physics.
-
D.
Anton Kuhl
Anton Kuhl is a songwriter best known for his work on the track "Do It."
-
E.
David Ortkiese
David Ortkiese is a cinematographer known for his work on the film "A Haunted House."
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867d010c8190bc5dba6758d0b797 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.