Triple
T21926228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diary of a Drug Fiend |
E541449
|
entity |
| Predicate | hasTimeSpanOfStory |
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: [Diary of a Drug Fiend, hasTimeSpanOfStory, several months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeSpanOfStory Context triple: [Diary of a Drug Fiend, hasTimeSpanOfStory, several months]
-
A.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
B.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
C.
storyTimeSpanInFilm
chosen
Indicates the duration of time that the story or narrative covers within the film.
-
D.
isTimeBendingStory
Indicates that a story involves manipulation, distortion, or non-linear progression of time as a central narrative element.
-
E.
storyArcLength
Indicates the duration or extent of a narrative arc within a story, such as how long a particular plotline continues.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fb6af08190b3562f547d4d2895 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:46 p.m.