Triple
T5768287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZRTP |
E127265
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
|
E544014
|
NE FINISHED |
How this triple was built (4 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: [ZRTP, designedBy, Jon Callas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Callas Context triple: [ZRTP, designedBy, Jon Callas]
-
A.
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.
-
B.
Johnny Callison
Johnny Callison was an American Major League Baseball right fielder, best known for his standout years with the Philadelphia Phillies in the 1960s.
-
C.
Jon Caliri
Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
-
D.
Andy Davis
Andy Davis is the young boy and devoted toy owner whose imagination and attachment to his toys drive much of the emotional core of the Toy Story film series.
-
E.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jon Callas Triple: [ZRTP, designedBy, Jon Callas]
Generated description
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Callas Target entity description: Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
A.
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.
-
B.
Johnny Callison
Johnny Callison was an American Major League Baseball right fielder, best known for his standout years with the Philadelphia Phillies in the 1960s.
-
C.
Jon Caliri
Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
-
D.
Andy Davis
Andy Davis is the young boy and devoted toy owner whose imagination and attachment to his toys drive much of the emotional core of the Toy Story film series.
-
E.
Dan Rydell
Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
- F. None of above. chosen
Provenance (5 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e61127c8190833e279403af6605 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08cc5c48481909c1ac21d586b3263 |
completed | March 23, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08d42cac88190b6cd454e8c31a4ef |
completed | March 23, 2026, 12:45 a.m. |
Created at: March 22, 2026, 3:49 p.m.