Triple
T3972564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saliva |
E92366
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dave Novotny
Dave Novotny is a musician best known as a member of the American rock band Saliva.
|
E407155
|
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: [Saliva, hasMember, Dave Novotny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Novotny Context triple: [Saliva, hasMember, Dave Novotny]
-
A.
John Kundla
John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
-
B.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
C.
David Slivka
David Slivka was an American sculptor and painter known for his abstract, expressionist works and contributions to mid-20th-century modern art.
-
D.
Joe Pisarcik
Joe Pisarcik is a former NFL quarterback best known for his infamous late-game fumble in 1978 that led to the "Miracle at the Meadowlands."
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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: [Saliva, hasMember, Dave Novotny]
Generated description
Dave Novotny is a musician best known as a member of the American rock band Saliva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Novotny Target entity description: Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
A.
John Kundla
John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
-
B.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
C.
David Slivka
David Slivka was an American sculptor and painter known for his abstract, expressionist works and contributions to mid-20th-century modern art.
-
D.
Joe Pisarcik
Joe Pisarcik is a former NFL quarterback best known for his infamous late-game fumble in 1978 that led to the "Miracle at the Meadowlands."
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c443e208190a8bf83ec642a142e |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b5505592bc8190bedda7df9eef8fa7 |
completed | March 14, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b550e241048190aaa72504bc278c98 |
completed | March 14, 2026, 12:13 p.m. |
Created at: March 9, 2026, 3:32 p.m.