Triple
T22131367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Perfect Circle |
E546910
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Jeff Friedl |
—
|
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: Jeff Friedl | Statement: [A Perfect Circle, hasMember, Jeff Friedl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Friedl Context triple: [A Perfect Circle, hasMember, Jeff Friedl]
-
A.
Jeff Friedl
chosen
Jeff Friedl is an American drummer best known for his work with alternative rock and industrial bands, including his role in Devo’s later lineups.
-
B.
Eric Friedl
Eric Friedl is an American musician and independent record label founder best known for creating the influential Memphis-based punk and garage rock label Goner Records.
-
C.
David Flanagan
David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
-
D.
Michael Feathers
Michael Feathers is a software engineer, consultant, and author known for his influential work on legacy code, refactoring, and improving software design and maintainability.
-
E.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12985e3688190917884c6bd487810 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.