Triple
T14290595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Dwarfs Mine Train |
E354298
|
entity |
| Predicate | usesCharacters |
P35699
|
FINISHED |
| Object | Sneezy |
E173772
|
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: Sneezy | Statement: [Seven Dwarfs Mine Train, usesCharacters, Sneezy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sneezy Context triple: [Seven Dwarfs Mine Train, usesCharacters, Sneezy]
-
A.
Sneezy
chosen
Sneezy is one of the Seven Dwarfs in Disney's "Snow White and the Seven Dwarfs," known for his frequent, powerful sneezes.
-
B.
Dopey
Dopey is the mute, childlike, and comically clumsy dwarf from Disney’s classic animated film "Snow White and the Seven Dwarfs."
-
C.
Bashful
Bashful is one of the seven dwarfs in Disney's "Snow White and the Seven Dwarfs," characterized by his shy, blushing demeanor and gentle, soft-spoken nature.
-
D.
Droopy
Droopy is a classic, deadpan cartoon dog from American animated shorts, best known for his slow, monotone delivery and unexpectedly effective antics.
-
E.
Mr. Snuffleupagus
Mr. Snuffleupagus is a large, gentle, woolly mammoth-like character on Sesame Street known for his close friendship with Big Bird.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1fee448190bcafb37dd6618d60 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.