Triple
T6051802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grinch (2018 film) |
E134811
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Whoville |
E374994
|
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: Whoville | Statement: [The Grinch (2018 film), setting, Whoville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whoville Context triple: [The Grinch (2018 film), setting, Whoville]
-
A.
Whoville
chosen
Whoville is a whimsical, tiny town inhabited by the Whos in Dr. Seuss’s stories, notably featured in both "Horton Hears a Who!" and "How the Grinch Stole Christmas!"
-
B.
Gillikins
Gillikins are the purple-clad northern people of L. Frank Baum’s Land of Oz, known for inhabiting the Gillikin Country.
-
C.
Thneedville
Thneedville is the brightly colored, artificial city in the 2012 animated film "The Lorax," where residents live surrounded by plastic and metal with no real trees or nature.
-
D.
Hattieville
Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
-
E.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f802988190aafdb7cbb087c828 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a911548190b4269d094f65308d |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.