Triple
T23052401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Is Hip? |
E574053
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Stephen Kupka
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.
|
E1568554
|
NE FINISHED |
How this triple was built (4 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?, writer, Stephen Kupka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Kupka Context triple: [What Is Hip?, writer, Stephen Kupka]
-
A.
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."
-
B.
Peter Teichner
Peter Teichner is a German mathematician known for his work in topology and its connections to mathematical physics.
-
C.
Anton Kuhl
Anton Kuhl is a songwriter best known for his work on the track "Do It."
-
D.
David Ortkiese
David Ortkiese is a cinematographer known for his work on the film "A Haunted House."
-
E.
Robert Kauzlaric
Robert Kauzlaric is an American playwright, adapter, and actor best known for his work with Chicago’s Lifeline Theatre, where he has created numerous acclaimed stage adaptations of novels and genre fiction.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stephen Kupka Triple: [What Is Hip?, writer, Stephen Kupka]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Kupka Target entity description: 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.
-
A.
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."
-
B.
Peter Teichner
Peter Teichner is a German mathematician known for his work in topology and its connections to mathematical physics.
-
C.
Anton Kuhl
Anton Kuhl is a songwriter best known for his work on the track "Do It."
-
D.
David Ortkiese
David Ortkiese is a cinematographer known for his work on the film "A Haunted House."
-
E.
Robert Kauzlaric
Robert Kauzlaric is an American playwright, adapter, and actor best known for his work with Chicago’s Lifeline Theatre, where he has created numerous acclaimed stage adaptations of novels and genre fiction.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae036908190a6cdcb74e0d28f82 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0e2dd7908190afa879304ef3ed17 |
completed | May 19, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0eaa7f8c81908110341d34d92537 |
completed | May 19, 2026, 7:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.