Triple
T10010123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relient K |
E198349
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Jon Schneck |
E871109
|
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: Jon Schneck | Statement: [Relient K, hasFormerMember, Jon Schneck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Schneck Context triple: [Relient K, hasFormerMember, Jon Schneck]
-
A.
Jon Schneck
chosen
Jon Schneck is an American guitarist and multi-instrumentalist best known for his work with the Christian rock band Relient K.
-
B.
Nick Schenk
Nick Schenk is an American screenwriter best known for writing the Clint Eastwood film "Gran Torino."
-
C.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
-
D.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
-
E.
Scott Resnick
Scott Resnick is an American entrepreneur and civic leader known for his work in the technology sector and his role in Madison, Wisconsin politics.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd39e074819097f77a4d4bf7856e |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d979d64a5481909be6d6bd1d8b6433 |
completed | April 10, 2026, 10:29 p.m. |
Created at: March 30, 2026, 8:52 p.m.