Triple
T6417960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6052 |
E127875
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
P. Matthews
P. Matthews is a technical expert and author known for contributing to the IETF’s RFC 6052 specification on IPv6 and IPv4 address translation.
|
E593234
|
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: P. Matthews | Statement: [RFC 6052, author, P. Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P. Matthews Context triple: [RFC 6052, author, P. Matthews]
-
A.
Don Matthews
Don Matthews was a highly successful and influential Canadian Football League head coach, renowned for leading multiple teams to Grey Cup championships.
-
B.
Richard Mathews
Richard Mathews is an actor known for playing the Time Lord Rassilon in the long-running British science fiction series Doctor Who.
-
C.
P. R. Brown
P. R. Brown is an American graphic designer and music video director known for his visually distinctive work with major recording artists across rock and pop music.
-
D.
Tom Mathews
Tom Mathews is an American writer and journalist known for co-authoring civil rights leader Roy Wilkins’s autobiography, "Standing Fast."
-
E.
M.J. Anthony
M.J. Anthony is a child actor best known for his role in the 2015 horror-comedy film "Krampus."
- 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: P. Matthews Triple: [RFC 6052, author, P. Matthews]
Generated description
P. Matthews is a technical expert and author known for contributing to the IETF’s RFC 6052 specification on IPv6 and IPv4 address translation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: P. Matthews Target entity description: P. Matthews is a technical expert and author known for contributing to the IETF’s RFC 6052 specification on IPv6 and IPv4 address translation.
-
A.
Don Matthews
Don Matthews was a highly successful and influential Canadian Football League head coach, renowned for leading multiple teams to Grey Cup championships.
-
B.
Richard Mathews
Richard Mathews is an actor known for playing the Time Lord Rassilon in the long-running British science fiction series Doctor Who.
-
C.
P. R. Brown
P. R. Brown is an American graphic designer and music video director known for his visually distinctive work with major recording artists across rock and pop music.
-
D.
Tom Mathews
Tom Mathews is an American writer and journalist known for co-authoring civil rights leader Roy Wilkins’s autobiography, "Standing Fast."
-
E.
M.J. Anthony
M.J. Anthony is a child actor best known for his role in the 2015 horror-comedy film "Krampus."
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068eb6c988190b54de6182d0f490d |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d2ab64819089e91525da60392b |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c644ec2ca48190997a118f8751cba5 |
completed | March 27, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6455961b881908f5804d9c0e86573 |
completed | March 27, 2026, 8:52 a.m. |
Created at: March 22, 2026, 4:42 p.m.