Triple
T9312860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 7720 |
E224045
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Matt Larson
Matt Larson is an Internet engineer and author known for his work on DNS standards and contributions to key IETF documents.
|
E791340
|
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: Matt Larson | Statement: [RFC 7720, author, Matt Larson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Larson Context triple: [RFC 7720, author, Matt Larson]
-
A.
Dean Paul Larson
Dean Paul Larson is a fictional character from the television series "The Chair."
-
B.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
-
C.
Nathan Larson
Nathan Larson is an American musician and film composer known for scoring numerous independent and mainstream movies.
-
D.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
E.
Keith Larsen
Keith Larsen was an American actor best known for his roles in 1950s Western films and television series.
- 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: Matt Larson Triple: [RFC 7720, author, Matt Larson]
Generated description
Matt Larson is an Internet engineer and author known for his work on DNS standards and contributions to key IETF documents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Larson Target entity description: Matt Larson is an Internet engineer and author known for his work on DNS standards and contributions to key IETF documents.
-
A.
Dean Paul Larson
Dean Paul Larson is a fictional character from the television series "The Chair."
-
B.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
-
C.
Nathan Larson
Nathan Larson is an American musician and film composer known for scoring numerous independent and mainstream movies.
-
D.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
E.
Keith Larsen
Keith Larsen was an American actor best known for his roles in 1950s Western films and television series.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20ae96e481909a1af9ea1c91f2b2 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7a0adc4819097ac906f03f0188e |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0c8a7190c819097e71c15f7924268 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9e7e7d08190bddc6786f0fcea9e |
completed | April 4, 2026, 8:20 a.m. |
Created at: March 30, 2026, 7:37 p.m.