Triple
T25715016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Cinq Dernières Minutes |
E644838
|
entity |
| Predicate | hasSubsequentSeries |
P13317
|
FINISHED |
| Object | Les Cinq Dernières Minutes (revival series) |
—
|
NE NERFINISHED |
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: Les Cinq Dernières Minutes (revival series) | Statement: [Les Cinq Dernières Minutes, hasSubsequentSeries, Les Cinq Dernières Minutes (revival series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsequentSeries Context triple: [Les Cinq Dernières Minutes, hasSubsequentSeries, Les Cinq Dernières Minutes (revival series)]
-
A.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
-
B.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
-
C.
successorSeries
chosen
Indicates that one series directly follows another in sequence, continuing or extending it as its successor.
-
D.
hasSequelLikeCycle
Indicates that a work is part of a sequence where sequels form a cycle, such that following the sequel relationships eventually leads back to the original work.
-
E.
hasSubsequentStandard
Indicates that one standard is followed or superseded by another standard that comes after it in sequence or version.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 21, 2026, 9:38 p.m.