Triple
T2547253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bells of San Angelo |
E57932
|
entity |
| Predicate | hasFilmSeries |
P5564
|
FINISHED |
| Object | Roy Rogers film series |
—
|
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: Roy Rogers film series | Statement: [The Bells of San Angelo, hasFilmSeries, Roy Rogers film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmSeries Context triple: [The Bells of San Angelo, hasFilmSeries, Roy Rogers film series]
-
A.
producedFilmSeries
Indicates that a person or organization served as a producer for a particular film series.
-
B.
filmSeries
chosen
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
C.
filmSeriesEnd
Indicates that a particular film marks the conclusion or final installment of a film series.
-
D.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
-
E.
hasMediaFranchise
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.