Triple
T20029316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forky Asks a Question |
E495078
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Forky |
—
|
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: Forky | Statement: [Forky Asks a Question, mainCharacter, Forky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forky Context triple: [Forky Asks a Question, mainCharacter, Forky]
-
A.
Forky
chosen
Forky is a handcrafted spork-turned-toy who grapples with his identity and purpose in Pixar's animated film Toy Story 4.
-
B.
Mrs. Potato Head
Mrs. Potato Head is a popular anthropomorphic toy character from the Toy Story franchise, known as Mr. Potato Head’s outspoken and caring wife.
-
C.
Mr. Potato Head
Mr. Potato Head is a classic plastic toy figure with interchangeable facial features, best known as one of the wisecracking toy characters in the Toy Story film series.
-
D.
Flik
Flik is the inventive and well-meaning ant protagonist of Pixar's animated film "A Bug's Life."
-
E.
Baymax
Baymax is a gentle, inflatable healthcare robot who becomes an unlikely superhero and emotional anchor in Disney's animated film "Big Hero 6."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.