Triple
T14765807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Words |
E346991
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jeff Groth |
E287267
|
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: Jeff Groth | Statement: [Bad Words, editedBy, Jeff Groth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Groth Context triple: [Bad Words, editedBy, Jeff Groth]
-
A.
Jeff Groth
chosen
Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
-
B.
Scott Devendorf
Scott Devendorf is an American bassist and multi-instrumentalist best known as a founding member of the indie rock band The National.
-
C.
Dave Keuning
Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
-
D.
Gary Grubbs
Gary Grubbs is an American character actor known for his extensive work in film and television, often appearing in supporting roles across dramas and comedies.
-
E.
Steve Kragthorpe
Steve Kragthorpe is an American football coach best known for revitalizing the University of Tulsa’s football program in the early 2000s and later serving as head coach at the University of Louisville.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218f11008190bd4837f900746d1a |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 1:30 a.m.