Triple
T28231131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private Princess |
E711734
|
entity |
| Predicate | seriesNumberWithinFranchise |
P134373
|
FINISHED |
| Object | spin-off in the Private 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: spin-off in the Private series | Statement: [Private Princess, seriesNumberWithinFranchise, spin-off in the Private series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberWithinFranchise Context triple: [Private Princess, seriesNumberWithinFranchise, spin-off in the Private series]
-
A.
filmSeriesInstallmentNumber
Indicates the specific sequential position that a film occupies within a film series.
-
B.
seriesNumberInTrilogy
Indicates the position or installment number that a work occupies within a specific trilogy.
-
C.
seriesWithinFranchise
chosen
Indicates that one series is part of, or contained within, a larger media franchise.
-
D.
partOfFranchiseInstallment
Indicates that one work is an installment belonging to a larger franchise or series.
-
E.
seriesNumberInCarryOn
Indicates that an item has a specific series or sequence number within a set of carry-on items.
- 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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 10:52 p.m.