Triple
T4209438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Terror |
E93863
|
entity |
| Predicate | season2Focus |
P52466
|
FINISHED |
| Object | Japanese American internment |
—
|
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: Japanese American internment | Statement: [The Terror, season2Focus, Japanese American internment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: season2Focus Context triple: [The Terror, season2Focus, Japanese American internment]
-
A.
season2Subject
chosen
Indicates that the subject is associated with or pertains to the second season of a series, event, or recurring entity.
-
B.
season1Subject
Indicates that the subject is associated with or serves as the primary topic or focus of the first season of a series or show.
-
C.
seasonAfter
Indicates that one season occurs chronologically immediately after another season in a sequence.
-
D.
season4Subject
Indicates that one entity serves as the subject or main focus of the fourth season of another entity (such as a series or show).
-
E.
season3Subject
Indicates that the subject is associated with or pertains to the third season of a series or recurring event.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:03 p.m.