Triple
T26618275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sgt. Fury and his Howling Commandos #1 |
E668124
|
entity |
| Predicate | timeframeOfStory |
P11197
|
FINISHED |
| Object | early 1940s |
—
|
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: early 1940s | Statement: [Sgt. Fury and his Howling Commandos #1, timeframeOfStory, early 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeOfStory Context triple: [Sgt. Fury and his Howling Commandos #1, timeframeOfStory, early 1940s]
-
A.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
C.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
E.
timeframeApproximate
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615af6b488190819cd865b9b7527e |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:19 a.m.