Triple
T7849552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saints |
E182008
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Bernie the Saint Bernard |
E459481
|
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: Bernie the Saint Bernard | Statement: [Saints, mascot, Bernie the Saint Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernie the Saint Bernard Context triple: [Saints, mascot, Bernie the Saint Bernard]
-
A.
Bernie the Saint Bernard
chosen
Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
-
B.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
C.
Hector the Bulldog
Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
-
D.
Buster the dog
Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
-
E.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e989ac819090e459b77d8932d3 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0515c08190b866a39749d54849 |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:50 p.m.