Triple
T28768015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Cooper Jr. |
E726329
|
entity |
| Predicate | firstAppearancePrequelSeries |
P125575
|
FINISHED |
| Object | Young Sheldon |
—
|
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: Young Sheldon | Statement: [George Cooper Jr., firstAppearancePrequelSeries, Young Sheldon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearancePrequelSeries Context triple: [George Cooper Jr., firstAppearancePrequelSeries, Young Sheldon]
-
A.
prequelAppearance
Indicates that an entity appears in a work that is a prequel to another related work or installment.
-
B.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
C.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
D.
firstAppearanceFilm
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
-
E.
firstAppearanceInSpinoff
chosen
Indicates that an entity makes its first appearance within a derivative or spinoff work rather than in the original work.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
Created at: April 28, 2026, 6:14 a.m.