Triple
T11386962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magilla Gorilla |
E269735
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Yogi's Gang |
E923000
|
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's Gang | Statement: [Magilla Gorilla, appearsIn, Yogi's Gang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yogi's Gang Context triple: [Magilla Gorilla, appearsIn, Yogi's Gang]
-
A.
Yogi’s Gang
chosen
Yogi’s Gang is an animated television series featuring Yogi Bear leading a group of classic Hanna-Barbera cartoon characters on adventures that often include moral and environmental lessons.
-
B.
Yo Yogi!
Yo Yogi! is an early-1990s animated television series that reimagines classic Hanna-Barbera characters, including Yogi Bear, as teenage sleuths in a modern, comedic setting.
-
C.
Yogi’s Treasure Hunt
Yogi’s Treasure Hunt is an animated television series that follows Yogi Bear and other Hanna-Barbera characters on globe-trotting adventures to solve clues and find hidden treasures.
-
D.
Junglinster
Junglinster is a commune in central Luxembourg known for its mix of rural villages, growing residential areas, and proximity to Luxembourg City.
-
E.
Young Ones
Young Ones is a film for which composer Nathan Johnson created the musical score.
- 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_69e5d33ad50c8190982b00aab09098a1 |
completed | April 20, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:34 p.m.