Triple
T13701757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Book IV: Force |
E328534
|
entity |
| Predicate | chronologicalOrderInFranchise |
P94975
|
FINISHED |
| Object | third spinoff |
—
|
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: third spinoff | Statement: [Power Book IV: Force, chronologicalOrderInFranchise, third spinoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInFranchise Context triple: [Power Book IV: Force, chronologicalOrderInFranchise, third spinoff]
-
A.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
B.
seriesOrderOfFirstAppearance
Indicates the position in which an entity first appears within a series, relative to other entities in that same series.
-
C.
chronologicalOrderInOriginalTrilogy
Indicates the sequence in which events or items appear in time within the original trilogy.
-
D.
chronologicallyOrdered
chosen
Indicates that the related entities are arranged in the order in which they occur in time.
-
E.
filmAppearanceOrder
Indicates the sequence in which a character or element appears within a film, relative to other appearances.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.