Triple
T15682074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Murray as Carl Spackler |
E377601
|
entity |
| Predicate | comicApproach |
P43839
|
FINISHED |
| Object | deadpanAbsurdism |
—
|
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: deadpanAbsurdism | Statement: [Bill Murray as Carl Spackler, comicApproach, deadpanAbsurdism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicApproach Context triple: [Bill Murray as Carl Spackler, comicApproach, deadpanAbsurdism]
-
A.
comicFunction
chosen
Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
-
B.
comicStripArtist
Indicates that one entity is the artist who creates or draws the comic strips associated with another entity.
-
C.
comicBookUniverse
Indicates that multiple comic book characters, stories, or events exist within and are governed by the same fictional continuity or shared narrative world.
-
D.
comicEra
Indicates the historical or stylistic period within which a comic was created or is categorized.
-
E.
comicTheme
Indicates that something (such as a work, scene, or element) centers around or is characterized by a humorous or comic theme.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.