Triple
T18856402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24: The Game |
E461179
|
entity |
| Predicate | narrativeSettingBetweenSeasons |
P39593
|
FINISHED |
| Object | 24 season 2 |
—
|
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: 24 season 2 | Statement: [24: The Game, narrativeSettingBetweenSeasons, 24 season 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeSettingBetweenSeasons Context triple: [24: The Game, narrativeSettingBetweenSeasons, 24 season 2]
-
A.
settingOfLaterSeasons
Indicates that the referenced location serves as the primary setting in later seasons of a series or serialized work.
-
B.
settingOfSeason1
Indicates the primary location or environment in which the events of season 1 take place.
-
C.
adaptationSeason
Indicates that one work is an adaptation of another specifically for a particular season or installment in a series.
-
D.
subsequentSeasonLocationsInclude
chosen
Indicates that the locations specified are among those used in one or more seasons that follow a given season in a series or sequence.
-
E.
secondSeasonBasedOn
Indicates that the second season of a work is adapted from or derived from another specified source.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05d0bb8819094d0447441f85b57 |
completed | April 20, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.