Triple
T4610010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedroom Farce |
E100530
|
entity |
| Predicate | timeSpanOfFiction |
P10692
|
FINISHED |
| Object | one night |
—
|
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: one night | Statement: [Bedroom Farce, timeSpanOfFiction, one night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanOfFiction Context triple: [Bedroom Farce, timeSpanOfFiction, one night]
-
A.
storyTimeSpanInFilm
chosen
Indicates the duration of time that the story or narrative covers within the film.
-
B.
fictionalAge
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
-
C.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
D.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
E.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59be3300819095e548b488c8f75e |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.