Triple
T31330365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Doll’s House, Part 2 |
E799006
|
entity |
| Predicate | timeAfterPrequel |
P157871
|
FINISHED |
| Object | 15 years |
—
|
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: 15 years | Statement: [A Doll’s House, Part 2, timeAfterPrequel, 15 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAfterPrequel Context triple: [A Doll’s House, Part 2, timeAfterPrequel, 15 years]
-
A.
narrativeTimeGapFromPrequel
chosen
Indicates that there is a temporal gap in the story’s timeline between this work and its prequel.
-
B.
protagonistAgeRelativeToPrequel
Indicates how the protagonist’s age in the current work compares to their age in a preceding prequel story.
-
C.
timeBehind
Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
-
D.
settingTimeRelativeToFilms
Indicates the temporal relationship of one film’s setting relative to the settings of other films (e.g., earlier, later, or at the same time).
-
E.
isPrequelTo
Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:16 p.m.