Triple
T5731379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grinchmas |
E126390
|
entity |
| Predicate | hasCharacterAppearance |
P66140
|
FINISHED |
| Object | Whoville residents |
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 residents | Statement: [Grinchmas, hasCharacterAppearance, Whoville residents]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whoville residents Context triple: [Grinchmas, hasCharacterAppearance, Whoville residents]
-
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.
Santa's elves
Santa's elves are the small, magical helpers of Santa Claus who live at the North Pole and make toys for children for Christmas.
-
C.
Oompa-Loompas
Oompa-Loompas are the small, whimsical factory workers in Roald Dahl’s Willy Wonka stories, known for their synchronized songs and moralizing musical numbers after each child’s misadventure.
-
D.
Gillikins
Gillikins are the purple-clad northern people of L. Frank Baum’s Land of Oz, known for inhabiting the Gillikin Country.
-
E.
Horton
Horton is a small village and civil parish in the Royal Borough of Windsor and Maidenhead in Berkshire, England.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0335f23c081909b35020801e3ef12 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a906e008190bd2b9a3481733f14 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.