Triple
T2587905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlson |
E58048
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Chris Carlson
Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
|
E280781
|
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 Carlson | Statement: [Carlson, hasNotableBearer, Chris Carlson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Carlson Context triple: [Carlson, hasNotableBearer, Chris Carlson]
-
A.
Kit Carlson
Kit Carlson is a game designer best known for creating the popular card game "Citadels."
-
B.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
C.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
D.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
E.
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.
- 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 Carlson Triple: [Carlson, hasNotableBearer, Chris Carlson]
Generated description
Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Carlson Target entity description: Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
-
A.
Kit Carlson
Kit Carlson is a game designer best known for creating the popular card game "Citadels."
-
B.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
C.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
D.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
E.
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.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f8a3888190889c537e6df07305 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83ba83c48190bf65ff666830c758 |
completed | March 10, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69af8434f61c81909bffb3f06acb733b |
completed | March 10, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af84b260b881909bbd3d2825f9dea7 |
completed | March 10, 2026, 2:40 a.m. |
Created at: March 6, 2026, 9:49 p.m.