Triple
T22232959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6189 |
E549514
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jon Callas |
—
|
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: Jon Callas | Statement: [RFC 6189, author, Jon Callas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Callas Context triple: [RFC 6189, author, Jon Callas]
-
A.
Jon Callas
chosen
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
B.
Kevin Callis
Kevin Callis is a fictional character from the television series "Lost," known primarily as the ex-husband of main character Kate Austen.
-
C.
John David Call
John David Call is an American musician best known as the pedal steel guitarist for the country rock band Pure Prairie League.
-
D.
Curtis Callan
Curtis Callan is an American theoretical physicist known for his influential work in quantum field theory, string theory, and the renormalization group.
-
E.
Brian Kerwin
Brian Kerwin is an American actor known for his work in film, television, and theater, including roles in movies like "King Kong Lives" and various popular TV series.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf4e0348190b755a9ac0bc96cdd |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.