Triple
T34104306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustavo Fring |
E874656
|
entity |
| Predicate | prequelAppearance |
P178237
|
FINISHED |
| Object | Better Call Saul |
—
|
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: Better Call Saul | Statement: [Gustavo Fring, prequelAppearance, Better Call Saul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prequelAppearance Context triple: [Gustavo Fring, prequelAppearance, Better Call Saul]
-
A.
prequelOrSequelTo
Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
-
B.
isPrequelTo
Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
-
C.
precedesInFilm
Indicates that one film is released or occurs earlier in sequence or narrative order than another film.
-
D.
hasAnimatedPrequel
Indicates that one work serves as an earlier, animated installment in the narrative or release sequence of another work.
-
E.
sequelAppearsIn
Indicates that a sequel (such as a follow-up work or installment) is featured, shown, or occurs within a specified context or medium.
- F. None of above. chosen
Provenance (4 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70ca7d9348190960c9ee97ddd54ea |
completed | May 3, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:53 a.m.