Triple
T17957183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Wedloe |
E448982
|
entity |
| Predicate | hasPet |
P8711
|
FINISHED |
| Object | Ben (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: Ben (bear) | Statement: [Tom Wedloe, hasPet, Ben (bear)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben (bear) Context triple: [Tom Wedloe, hasPet, Ben (bear)]
-
A.
Ben the bear
chosen
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
B.
Bart the Bear
Bart the Bear was a famous trained Kodiak bear actor known for his prominent roles in Hollywood films and television.
-
C.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
D.
Joe Bear
Joe Bear is the costumed bear mascot that represents Lenoir–Rhyne University at its athletic events and campus activities.
-
E.
Bruno the bear
Bruno the bear is a trained performing bear best known for playing the character Ben the Bear.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb0afe08190964e771ec632fa1e |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.