Triple
T36154984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibby Womack |
E1045703
|
entity |
| Predicate | appearsInFilmSettingPeriod |
P68358
|
FINISHED |
| Object | Prohibition era |
—
|
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: Prohibition era | Statement: [Kibby Womack, appearsInFilmSettingPeriod, Prohibition era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFilmSettingPeriod Context triple: [Kibby Womack, appearsInFilmSettingPeriod, Prohibition era]
-
A.
livesInFilmSetting
Indicates that an entity resides or exists within the fictional world or setting depicted in a particular film.
-
B.
appearsInTimePeriodDepicted
chosen
Indicates that something is present or occurs within the specific time period that is depicted or represented.
-
C.
historicalSettingOfFilm
Indicates that a particular historical period, event, or context serves as the setting in which a film’s story takes place.
-
D.
portrayedInSetting
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
-
E.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:08 p.m.