Triple
T29148996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night of the Demons (2009 film) |
E738851
|
entity |
| Predicate | hasHalloweenSetting |
P168755
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Night of the Demons (2009 film), hasHalloweenSetting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHalloweenSetting Context triple: [Night of the Demons (2009 film), hasHalloweenSetting, true]
-
A.
hasChristmasSetting
Indicates that an event, scene, or work takes place during or is thematically set around the Christmas holiday period.
-
B.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
-
C.
hasHolidayAnalog
Indicates that one entity has a corresponding or comparable counterpart in the context of a holiday or holiday-related tradition.
-
D.
hasPreFestivePeriod
Indicates that an entity is associated with or occurs during a time period leading up to a specific festival or celebration.
-
E.
hasAdventCalendar
Indicates that one entity possesses or is associated with an advent calendar related to another entity or context.
- F. None of above. chosen
Provenance (4 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 11:41 a.m.