Triple
T20661337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cujo |
E507765
|
entity |
| Predicate | hasAnimalCharacter |
P25502
|
FINISHED |
| Object | Cujo (Saint Bernard) |
—
|
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: Cujo (Saint Bernard) | Statement: [Cujo, hasAnimalCharacter, Cujo (Saint Bernard)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cujo (Saint Bernard) Context triple: [Cujo, hasAnimalCharacter, Cujo (Saint Bernard)]
-
A.
St. Bernard
St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
-
B.
Bernie the Saint Bernard
Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
-
C.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
D.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
E.
Cujo (dog)
chosen
Cujo (dog) is the rabid Saint Bernard and terrifying title character of Stephen King’s horror novel "Cujo."
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f16adc8190b2b9a69586fa7444 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.