Triple
T2587906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlson |
E58048
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ben Carlson
Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
|
E283467
|
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: Ben Carlson | Statement: [Carlson, hasNotableBearer, Ben Carlson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Carlson Context triple: [Carlson, hasNotableBearer, Ben Carlson]
-
A.
Chris Carlson
Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
-
B.
Kit Carlson
Kit Carlson is a game designer best known for creating the popular card game "Citadels."
-
C.
Dan Carney
Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
-
D.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
-
E.
Mark Okerstrom
Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia Group.
- 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: Ben Carlson Triple: [Carlson, hasNotableBearer, Ben Carlson]
Generated description
Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Carlson Target entity description: Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
-
A.
Chris Carlson
Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
-
B.
Kit Carlson
Kit Carlson is a game designer best known for creating the popular card game "Citadels."
-
C.
Dan Carney
Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
-
D.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
-
E.
Mark Okerstrom
Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia Group.
- 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_69af907510d481909e7c5e5207d17774 |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af91f3cab88190b18fc5a02b66bfdb |
completed | March 10, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:49 p.m.