Triple
T16993805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrat |
E412262
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Gone Nutty |
E432703
|
NE 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: Gone Nutty | Statement: [Scrat, appearsIn, Gone Nutty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gone Nutty Context triple: [Scrat, appearsIn, Gone Nutty]
-
A.
Gone Nutty
chosen
Gone Nutty is an animated short film from the Ice Age franchise that follows the squirrel Scrat in a slapstick adventure involving his beloved acorn.
-
B.
The Hard Nut
The Hard Nut is Mark Morris’s acclaimed, darkly comic, and contemporary reimagining of Tchaikovsky’s The Nutcracker ballet.
-
C.
No Time for Nuts
No Time for Nuts is a comedic animated short film from the Ice Age franchise featuring the squirrel Scrat in a time-traveling adventure.
-
D.
Gone Insane
"Gone Insane" is a song featured on the album *Good Grief* by the American indie pop band Lucius.
-
E.
The Crazy Ones
The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d28535788190bdfcb6201a9024b5 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc16fbdc819095411a056b9942c3 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.