Triple
T7672124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sneezy |
E173772
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Dopey |
E175534
|
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: Dopey | Statement: [Sneezy, hasFriend, Dopey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dopey Context triple: [Sneezy, hasFriend, Dopey]
-
A.
Dopey
chosen
Dopey is the mute, childlike, and comically clumsy dwarf from Disney’s classic animated film "Snow White and the Seven Dwarfs."
-
B.
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.
-
C.
Sneezy
Sneezy is one of the Seven Dwarfs in Disney's "Snow White and the Seven Dwarfs," known for his frequent, powerful sneezes.
-
D.
Timmy Tiptoes
Timmy Tiptoes is a squirrel character from Beatrix Potter’s children’s stories, known for his adventures and misadventures involving hoarding and protecting nuts.
-
E.
Tweedledum
Tweedledum is a rotund, childlike twin character from Lewis Carroll’s "Through the Looking-Glass," often depicted alongside his brother Tweedledee as comical and argumentative figures.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7b8b1fc8190a3c81c0ee018bb97 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4 p.m.