Triple
T7072457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim the Bear’s neighborhood |
E164731
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Tim the Bear |
E161168
|
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: Tim the Bear | Statement: [Tim the Bear’s neighborhood, hasResident, Tim the Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim the Bear Context triple: [Tim the Bear’s neighborhood, hasResident, Tim the Bear]
-
A.
Tim the Bear
chosen
Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
-
B.
Ben the bear
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
C.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
D.
Brisky the Bear
Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
-
E.
Bruno the Bear
Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7945fdafc81909c265373627af4e8 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:39 p.m.