Triple
T16677305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Every Six Seconds |
E405244
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Dave Novotny |
E407155
|
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: Dave Novotny | Statement: [Every Six Seconds, performer, Dave Novotny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Novotny Context triple: [Every Six Seconds, performer, Dave Novotny]
-
A.
Dave Novotny
chosen
Dave Novotny is a musician best known as a member of the American rock band Saliva.
-
B.
Dave Novotny
Dave Novotny is a composer best known for creating the music for the work titled "Your Disease."
-
C.
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.
-
D.
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.
-
E.
Daniel Dometz
Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
- 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_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_6a00bb029fa081909c3e52d09637541a |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:19 a.m.