Triple
T16677126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Disease |
E405239
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Dave Novotny
Dave Novotny is a composer best known for creating the music for the work titled "Your Disease."
|
E1230016
|
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: Dave Novotny | Statement: [Your Disease, composer, Dave Novotny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Novotny Context triple: [Your Disease, composer, Dave Novotny]
-
A.
Dave Novotny
Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
B.
Michael Novotny
Michael Novotny is a central character in the television series "Queer as Folk," portrayed as a kind-hearted comic book enthusiast whose long-standing friendship with Brian Kinney shapes much of the show's emotional core.
-
C.
Andrew J. Novobilski
Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
-
D.
Daniel Dometz
Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
-
E.
John Kundla
John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
- 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: Dave Novotny Triple: [Your Disease, composer, Dave Novotny]
Generated description
Dave Novotny is a composer best known for creating the music for the work titled "Your Disease."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Novotny Target entity description: Dave Novotny is a composer best known for creating the music for the work titled "Your Disease."
-
A.
Dave Novotny
Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
B.
Michael Novotny
Michael Novotny is a central character in the television series "Queer as Folk," portrayed as a kind-hearted comic book enthusiast whose long-standing friendship with Brian Kinney shapes much of the show's emotional core.
-
C.
Andrew J. Novobilski
Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
-
D.
Daniel Dometz
Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
-
E.
John Kundla
John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d31372c8190b9d73a9b7db51f0f |
completed | May 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a009deba8448190a9f480e6807ea6be |
completed | May 10, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e5daf808190ae75d8c3e22aaef2 |
completed | May 10, 2026, 3:03 p.m. |
Created at: April 10, 2026, 5:19 a.m.