Triple
T20382292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Influents |
E497864
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Greg Schneider |
—
|
NE NERFINISHED |
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: Greg Schneider | Statement: [The Influents, hasMember, Greg Schneider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Schneider Context triple: [The Influents, hasMember, Greg Schneider]
-
A.
Greg Schneider
chosen
Greg Schneider is a musician best known as a member of the punk rock band The Influents.
-
B.
Greg Schneider
Greg Schneider is an actor best known for his role on the television series "Check Please."
-
C.
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
D.
Eric Schneider
Eric Schneider is a professional ice hockey player best known for his time with the German club Hannover Scorpions in the Deutsche Eishockey Liga.
-
E.
Michael Schultz
Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b208ec8190a09bf5fd947a2a02 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.