Triple
T19092956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Gadon |
E467333
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Black 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: Black Bear | Statement: [Sarah Gadon, notableWork, Black Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Bear Context triple: [Sarah Gadon, notableWork, Black Bear]
-
A.
Black Bear
"Black Bear" is a traditional Scottish bagpipe march widely associated with military regiments and ceremonial occasions.
-
B.
Black Bear
chosen
Black Bear is a 2020 psychological drama film that blends dark comedy and meta-narrative elements, starring Aubrey Plaza as a filmmaker entangled in a tense, reality-blurring relationship triangle.
-
C.
Black Bears
The Black Bears are the athletic teams representing the University of Maine in collegiate sports.
-
D.
American black bear
The American black bear is a medium-sized, omnivorous bear native to North America, commonly found in forested regions and known for its adaptability to diverse habitats.
-
E.
Ursinus Bear
Ursinus Bear is the costumed bear mascot that represents Ursinus College at its athletic events and campus activities.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34cf5e481908e1f180dacd5602f |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.