Triple
T7928143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6856 |
E184118
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Chris Newman
Chris Newman is an Internet standards engineer and author known for his contributions to email and messaging protocols within the IETF.
|
E700352
|
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: Chris Newman | Statement: [RFC 6856, hasAuthor, Chris Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Newman Context triple: [RFC 6856, hasAuthor, Chris Newman]
-
A.
Joe Newman
Joe Newman was an American jazz trumpeter best known for his work with big bands, particularly the Count Basie Orchestra.
-
B.
Chris Bryan
Chris Bryan is the brother of American country music singer and songwriter Luke Bryan.
-
C.
Sam Newman
Sam Newman is an Australian former rules footballer and long-time television personality best known for his outspoken role on the AFL show "The Footy Show."
-
D.
Jeff Nathanson
Jeff Nathanson is an American screenwriter and film director best known for writing high-profile Hollywood films such as "Catch Me If You Can," "The Terminal," and Disney's live-action "The Lion King."
-
E.
Joey Newman
Joey Newman is an American composer and conductor known for his work on television scores and themes, including contributions to major sports broadcasts.
- 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: Chris Newman Triple: [RFC 6856, hasAuthor, Chris Newman]
Generated description
Chris Newman is an Internet standards engineer and author known for his contributions to email and messaging protocols within the IETF.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Newman Target entity description: Chris Newman is an Internet standards engineer and author known for his contributions to email and messaging protocols within the IETF.
-
A.
Joe Newman
Joe Newman was an American jazz trumpeter best known for his work with big bands, particularly the Count Basie Orchestra.
-
B.
Chris Bryan
Chris Bryan is the brother of American country music singer and songwriter Luke Bryan.
-
C.
Sam Newman
Sam Newman is an Australian former rules footballer and long-time television personality best known for his outspoken role on the AFL show "The Footy Show."
-
D.
Jeff Nathanson
Jeff Nathanson is an American screenwriter and film director best known for writing high-profile Hollywood films such as "Catch Me If You Can," "The Terminal," and Disney's live-action "The Lion King."
-
E.
Joey Newman
Joey Newman is an American composer and conductor known for his work on television scores and themes, including contributions to major sports broadcasts.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ac9ac4c819082cd2190fc3ce5a2 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bfd08e88190bc6b2d77a148ae57 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7633c5a0819089deb6e89d9acb8e |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb84dc86c8190893d67ce07c51aa0 |
completed | March 31, 2026, 12:04 p.m. |
Created at: March 30, 2026, 5:07 p.m.