Triple
T21737897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Alquist |
E536573
|
entity |
| Predicate | appearsVia |
P795
|
FINISHED |
| Object | flashbacks in El Camino: A Breaking Bad Movie |
—
|
LITERAL 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: flashbacks in El Camino: A Breaking Bad Movie | Statement: [Todd Alquist, appearsVia, flashbacks in El Camino: A Breaking Bad Movie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsVia Context triple: [Todd Alquist, appearsVia, flashbacks in El Camino: A Breaking Bad Movie]
-
A.
appearsFrom
Indicates that one entity becomes visible or emerges originating from another entity or location.
-
B.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
C.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
D.
appearsAs
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
E.
mayAppearOn
Indicates that one entity is allowed or able to be shown, featured, or present on another entity (such as a platform, medium, or surface).
- F. None of above.
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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0d33dc81908a4a79abc33355d1 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.