Triple
T11594234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call of Duty: WWII |
E274959
|
entity |
| Predicate | returnsToSeriesRoots |
P100492
|
FINISHED |
| Object | World War II setting |
—
|
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: World War II setting | Statement: [Call of Duty: WWII, returnsToSeriesRoots, World War II setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnsToSeriesRoots Context triple: [Call of Duty: WWII, returnsToSeriesRoots, World War II setting]
-
A.
returnsTo
Indicates that an entity goes back to a previous location, state, or entity it was associated with before.
-
B.
formerSeries
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
-
C.
returnedForSeason
Indicates that an entity has come back or been brought back for a particular season or seasonal period.
-
D.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
E.
returnedToTour
Indicates that an entity resumed or went back to participating in a tour after having left or paused it.
- F. None of above. chosen
Provenance (4 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946790d08190924d60bb4b523250 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.