Triple
T834455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No One Writes to the Colonel |
E18038
|
entity |
| Predicate | timeSpanOfStory |
P10692
|
FINISHED |
| Object | several months |
—
|
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: several months | Statement: [No One Writes to the Colonel, timeSpanOfStory, several months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanOfStory Context triple: [No One Writes to the Colonel, timeSpanOfStory, several months]
-
A.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
storyTimeSpanInFilm
chosen
Indicates the duration of time that the story or narrative covers within the film.
-
C.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abccb94881909cd49aa3fd986b4a |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7c7df881909c539c3ab8ff0367 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.