Triple
T19973430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawson (Better Call Saul) |
E493624
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Peter Gould |
—
|
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: Peter Gould | Statement: [Lawson (Better Call Saul), createdBy, Peter Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Gould Context triple: [Lawson (Better Call Saul), createdBy, Peter Gould]
-
A.
Peter Gould
chosen
Peter Gould is an American television writer, producer, and director best known for co-creating the acclaimed series Better Call Saul and his work on Breaking Bad.
-
B.
Peter David
Peter David is a prolific American writer best known for his work on Star Trek tie-in novels, comic books, and science fiction and fantasy series.
-
C.
Joe Coenen
Joe Coenen is an architect known for his contribution to the design of Düsseldorf’s modern MedienHafen district.
-
D.
David G. Compton
David G. Compton is a British science fiction author best known for his dystopian and psychologically driven novels of the late 20th century.
-
E.
John Layman
John Layman is an American comic book writer best known as the co-creator and writer of the acclaimed series "Chew."
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
Created at: April 11, 2026, 3:17 p.m.