Triple
T32193081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Foster |
E822315
|
entity |
| Predicate | episodeSettingTime |
P20835
|
FINISHED |
| Object | Mardi Gras night |
—
|
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: Mardi Gras night | Statement: [Jason Foster, episodeSettingTime, Mardi Gras night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: episodeSettingTime Context triple: [Jason Foster, episodeSettingTime, Mardi Gras night]
-
A.
timeOfSetting
chosen
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
B.
timeSettingVariant
Indicates a relationship where one time setting is an alternative or modified version of another time setting.
-
C.
ageLaterInEpisode
Indicates that one entity is older than another at a later point within the same episode or time segment.
-
D.
settingOfLaterSeasons
Indicates that the referenced location serves as the primary setting in later seasons of a series or serialized work.
-
E.
timeOfSettingEnd
Indicates the point in time at which a specified setting, condition, or configuration ceases to be in effect.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:35 a.m.