Triple
T21867944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursa Minor |
E539929
|
entity |
| Predicate | nameMeaning |
P453
|
FINISHED |
| Object | Little Bear |
—
|
NE NERFINISHED |
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: Little Bear | Statement: [Ursa Minor, nameMeaning, Little Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Bear Context triple: [Ursa Minor, nameMeaning, Little Bear]
-
A.
Little Bear
Little Bear is a film production company known for its involvement in notable French cinema projects.
-
B.
Little Bear
Little Bear is a tiny Iroquois warrior who comes to life from a toy figure in the children's fantasy novel "The Indian in the Cupboard."
-
C.
Little Bear
chosen
Little Bear is a classic children's book series created by Else Holmelund Minarik and illustrated by Maurice Sendak, following the gentle adventures of a young bear and his family.
-
D.
Big Blue Bear
Big Blue Bear is a famous large blue bear sculpture that peers into the windows of the Colorado Convention Center in Denver, Colorado.
-
E.
Boo-Boo Bear
Boo-Boo Bear is a gentle, bow-tie-wearing cartoon bear best known as Yogi Bear’s loyal sidekick in the classic Hanna-Barbera animated series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33305d081908cd070134420607a |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.