Triple
T11386404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogi Bear |
E269724
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Yogi Bear (2010 film) |
E269724
|
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: Yogi Bear (2010 film) | Statement: [Yogi Bear, appearsIn, Yogi Bear (2010 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yogi Bear (2010 film) Context triple: [Yogi Bear, appearsIn, Yogi Bear (2010 film)]
-
A.
The Yogi Bear Show
The Yogi Bear Show is a classic American animated television series featuring the mischievous Yogi Bear and his sidekick Boo-Boo in Jellystone Park, produced by the famed studio Hanna-Barbera.
-
B.
Yogi Bear
chosen
Yogi Bear is a classic animated cartoon character known as a mischievous, picnic-basket-stealing bear from Jellystone Park.
-
C.
We Bare Bears
We Bare Bears is an animated television series that follows three bear brothers trying to integrate into human society with humorous and heartfelt results.
-
D.
Dog the bear
Dog the bear is a fictional animal companion character from Salman Rushdie’s novel "Luka and the Fire of Life."
-
E.
Gadzooks the Bear
Gadzooks the Bear is a gruff but ultimately soft-hearted bear character from the Rankin/Bass stop-motion Easter special "The Easter Bunny Is Comin' to Town."
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc378d808190b587a044ede67e1e |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c3c9a7081908002d726ec9e7715 |
completed | April 20, 2026, 2:15 a.m. |
Created at: April 8, 2026, 9:34 p.m.