Triple
T33053943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strike |
E845800
|
entity |
| Predicate | featuresFictionalHoliday |
P203312
|
FINISHED |
| Object | Festivus |
—
|
NE NERFINISHED |
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: Festivus | Statement: [The Strike, featuresFictionalHoliday, Festivus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalHoliday Context triple: [The Strike, featuresFictionalHoliday, Festivus]
-
A.
fictionalHolidayCreator
Indicates that an entity is the originator or inventor of a fictional or imaginary holiday.
-
B.
favoriteHoliday
Indicates that one entity is the preferred or most enjoyed holiday of another entity.
-
C.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
D.
holidayRole
Indicates the specific function, duty, or part an entity plays in relation to a holiday or holiday-related event.
-
E.
ethnicHoliday
Indicates a holiday that is specifically associated with, celebrated by, or originating from a particular ethnic group.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_6a01531a3a4c8190ac8cb040cc36e96b |
completed | May 11, 2026, 3:55 a.m. |
Created at: May 1, 2026, 1:24 a.m.