Triple
T18081684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Time for Nuts |
E432704
|
entity |
| Predicate | franchiseCharacterOrigin |
P52434
|
FINISHED |
| Object | Scrat first appeared in the Ice Age feature films |
—
|
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: Scrat first appeared in the Ice Age feature films | Statement: [No Time for Nuts, franchiseCharacterOrigin, Scrat first appeared in the Ice Age feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseCharacterOrigin Context triple: [No Time for Nuts, franchiseCharacterOrigin, Scrat first appeared in the Ice Age feature films]
-
A.
franchiseOriginCharacter
Indicates that a character is the original or primary character from which a franchise or its derivative works originate.
-
B.
franchiseCharacter
chosen
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
C.
originOfCharacter
Indicates the source or place from which a character originates or is created.
-
D.
representsFranchiseOrigin
Indicates that one entity is the original source or originating work from which the other entity’s franchise is derived.
-
E.
countryOfOriginOfFranchise
Indicates the country from which a particular franchise originally comes or was first established.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fb42888190919fe711a281bd7c |
completed | April 19, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:27 a.m.