Triple
T37255906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flintstone family |
E924124
|
entity |
| Predicate | portraysParodyOf |
P10352
|
FINISHED |
| Object | contemporary American suburban family |
—
|
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: contemporary American suburban family | Statement: [Flintstone family, portraysParodyOf, contemporary American suburban family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysParodyOf Context triple: [Flintstone family, portraysParodyOf, contemporary American suburban family]
-
A.
parodies
chosen
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
B.
parodiesWorkType
Indicates that one work humorously imitates or satirizes another work of a particular type or genre.
-
C.
satirizedBy
Indicates that the subject is the target or object of satire created or performed by the specified entity.
-
D.
hasParodyStatus
Indicates that one entity is a parody, spoof, or humorous imitation of another entity or of a particular style or work.
-
E.
portraysFictionalEntity
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:15 p.m.