Triple
T34500933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nitwits |
E885748
|
entity |
| Predicate | filmSeriesContext |
P90856
|
FINISHED |
| Object | part of Wheeler and Woolsey filmography |
—
|
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: part of Wheeler and Woolsey filmography | Statement: [The Nitwits, filmSeriesContext, part of Wheeler and Woolsey filmography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesContext Context triple: [The Nitwits, filmSeriesContext, part of Wheeler and Woolsey filmography]
-
A.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
B.
filmSeriesReturn
Indicates that a film marks the return or continuation of a previously established film series or franchise.
-
C.
filmSeriesRelation
chosen
Indicates a relationship where one film is part of, belongs to, or is connected within a larger film series or franchise.
-
D.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
-
E.
filmSeriesEnd
Indicates that a particular film marks the conclusion or final installment of a film series.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.