Triple
T30550396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Tucker |
E777540
|
entity |
| Predicate | hasParentSeriesGenre |
P192070
|
FINISHED |
| Object | adult animated sitcom |
—
|
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: adult animated sitcom | Statement: [Mother Tucker, hasParentSeriesGenre, adult animated sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentSeriesGenre Context triple: [Mother Tucker, hasParentSeriesGenre, adult animated sitcom]
-
A.
parentSeriesGenre
chosen
Indicates that a parent series belongs to or is categorized under a particular genre.
-
B.
hasMotherGenre
Indicates that one genre is the parent or broader category from which another, more specific genre is derived.
-
C.
hasGenreInSeries
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
D.
hasParentSeries
Indicates that a work or item belongs to, or is derived from, a broader parent series.
-
E.
sourceSeriesGenre
Indicates that a series originates from or belongs to a particular genre.
- 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_69f2249e19108190a458ab446096bf22 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 29, 2026, 8:20 p.m.