Triple
T19296979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beet Queen |
E482590
|
entity |
| Predicate | narrativeTimespan |
P11197
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [The Beet Queen, narrativeTimespan, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeTimespan Context triple: [The Beet Queen, narrativeTimespan, 1930s]
-
A.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
C.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
D.
chronologicalRange
Indicates the temporal span or period over which something occurs, is valid, or is relevant.
-
E.
narrativeLength
Indicates the length or extent of a narrative, such as its duration, word count, or overall size.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc85e8988190a98bc291121f0153 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.