Triple
T33053957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strike |
E845800
|
entity |
| Predicate | fictionalHolidayCreator |
P196293
|
FINISHED |
| Object | Frank Costanza |
—
|
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: Frank Costanza | Statement: [The Strike, fictionalHolidayCreator, Frank Costanza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalHolidayCreator Context triple: [The Strike, fictionalHolidayCreator, Frank Costanza]
-
A.
fictionalConceptFrom
Indicates that a fictional concept originates from, is introduced in, or is derived from a particular source or work.
-
B.
fictionalActivity
Indicates that an entity participates in, performs, or is associated with an activity that exists only in fiction or imaginative contexts.
-
C.
generationCategory
Indicates the classification of how something is produced or generated, grouping instances by their method or type of generation.
-
D.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
-
E.
fictionalInvention
Indicates that one entity is an invention or creation that exists only within the fictional context of another entity (such as a story, universe, or work).
- 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_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69fe1fd58ad8819093d3d705e8521014 |
completed | May 8, 2026, 5:39 p.m. |
Created at: May 1, 2026, 1:24 a.m.