Triple
T16678440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juslisen |
E405274
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Keith Pelzer |
E1228127
|
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: Keith Pelzer | Statement: [Juslisen, producer, Keith Pelzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keith Pelzer Context triple: [Juslisen, producer, Keith Pelzer]
-
A.
Keith Pelzer
chosen
Keith Pelzer is an American music producer best known for his work in neo-soul and R&B, including collaborations with artists associated with the Soulquarians and Philadelphia music scene.
-
B.
Tim O’Heir
Tim O’Heir is an American sound designer and music producer known for his work on Broadway and in alternative rock, including the revival of "Hedwig and the Angry Inch."
-
C.
Phil Brent
Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
-
D.
Richard Plepler
Richard Plepler is an American media executive best known for his tenure as CEO of HBO, where he oversaw the development of numerous acclaimed television series.
-
E.
Gary Tarpinian
Gary Tarpinian was an American television producer best known for creating and producing popular nonfiction and reality series, particularly in the history and science genres.
- 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_69e37d6db3488190b56e13ddb69ef8f1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009194ad188190aae3371c97abc045 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.