Triple
T22964517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Joseph Sylvester |
E571001
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sylvester |
—
|
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: Sylvester | Statement: [James Joseph Sylvester, familyName, Sylvester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvester Context triple: [James Joseph Sylvester, familyName, Sylvester]
-
A.
Sylvester
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
-
B.
Sylvester
chosen
Sylvester is a surname most notably associated with James Joseph Sylvester, a prominent 19th-century English mathematician known for his contributions to matrix theory, invariant theory, and number theory.
-
C.
Sylvester
Sylvester was an influential American disco and soul singer known for his powerful falsetto voice and pioneering role in LGBTQ+ music culture.
-
D.
Sylvester
Sylvester is a supporting character in the dance drama film "Stomp the Yard," involved in the competitive stepping scene at a historically Black college.
-
E.
Sylvester
Sylvester is a small unincorporated community located in Boone County, West Virginia, known historically for its ties to the coal mining industry.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f763688190aab8f444a1a71577 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.