Triple
T1160157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bun |
E24473
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Jarred Sumner
Jarred Sumner is a software engineer best known as the creator of Bun, a high-performance JavaScript runtime and toolkit.
|
E159404
|
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: Jarred Sumner | Statement: [Bun, developer, Jarred Sumner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarred Sumner Context triple: [Bun, developer, Jarred Sumner]
-
A.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Cody Gifford
Cody Gifford is an American television producer and screenwriter, best known as the son of Hall of Fame football player and broadcaster Frank Gifford and television host Kathie Lee Gifford.
-
C.
Evan Washburn
Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
-
D.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
-
E.
Nate Rogers
Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
- 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: Jarred Sumner Triple: [Bun, developer, Jarred Sumner]
Generated description
Jarred Sumner is a software engineer best known as the creator of Bun, a high-performance JavaScript runtime and toolkit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jarred Sumner Target entity description: Jarred Sumner is a software engineer best known as the creator of Bun, a high-performance JavaScript runtime and toolkit.
-
A.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Cody Gifford
Cody Gifford is an American television producer and screenwriter, best known as the son of Hall of Fame football player and broadcaster Frank Gifford and television host Kathie Lee Gifford.
-
C.
Evan Washburn
Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
-
D.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
-
E.
Nate Rogers
Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde0684e4819091720c985c317671 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acde870bac8190bd1c2636fca1dc74 |
completed | March 8, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acdef0bd0c81908e1eeb6851a2368d |
completed | March 8, 2026, 2:29 a.m. |
Created at: March 1, 2026, 7:45 p.m.