Triple
T33465334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duck Amuck |
E857027
|
entity |
| Predicate | uncreditedAnimatorWithinStory |
P176654
|
FINISHED |
| Object | Bugs Bunny |
—
|
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: Bugs Bunny | Statement: [Duck Amuck, uncreditedAnimatorWithinStory, Bugs Bunny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncreditedAnimatorWithinStory Context triple: [Duck Amuck, uncreditedAnimatorWithinStory, Bugs Bunny]
-
A.
uncreditedCollaborator
Indicates that one entity contributed to a work or project but did not receive formal acknowledgment or credit for their collaboration.
-
B.
uncreditedDirector
Indicates that a person directed a work but was not officially credited as its director.
-
C.
uncreditedProducer
Indicates that an entity served as a producer for a work but was not formally credited in that role.
-
D.
uncreditedScreenwriter
Indicates that a person contributed to writing a screenplay for a work but was not officially credited as a screenwriter.
-
E.
hasNotableUncreditedContribution
Indicates that an entity made a significant contribution to another entity or work that is not formally credited or acknowledged.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:37 a.m.