Triple
T33602493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Hart |
E860755
|
entity |
| Predicate | timeFrameOfMainStoryline |
P94706
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Maggie Hart, timeFrameOfMainStoryline, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeFrameOfMainStoryline Context triple: [Maggie Hart, timeFrameOfMainStoryline, 1995]
-
A.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
C.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
D.
storyArcLength
Indicates the duration or extent of a narrative arc within a story, such as how long a particular plotline continues.
-
E.
timePeriodOfPrimaryStories
chosen
Indicates the time period during which the primary stories or main narrative events of something (e.g., a work or series) take place.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7dc00e88190bae070a955dd6b95 |
completed | May 3, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.