Triple
T5163871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MixBit |
E116501
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object |
Matt Swanson
Matt Swanson is an entrepreneur best known as a co-founder of the short-form video creation and sharing platform MixBit.
|
E527083
|
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 Swanson | Statement: [MixBit, hasFounder, Matt Swanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Swanson Context triple: [MixBit, hasFounder, Matt Swanson]
-
A.
Kevin Swanson
Kevin Swanson is a recurring character on the animated TV show "Family Guy," known as the paraplegic son of Joe and Bonnie Swanson.
-
B.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
E.
Matt Ostrander
Matt Ostrander is a musician best known for having been a member of the American alternative rock band Blue October.
- 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 Swanson Triple: [MixBit, hasFounder, Matt Swanson]
Generated description
Matt Swanson is an entrepreneur best known as a co-founder of the short-form video creation and sharing platform MixBit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Swanson Target entity description: Matt Swanson is an entrepreneur best known as a co-founder of the short-form video creation and sharing platform MixBit.
-
A.
Kevin Swanson
Kevin Swanson is a recurring character on the animated TV show "Family Guy," known as the paraplegic son of Joe and Bonnie Swanson.
-
B.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
E.
Matt Ostrander
Matt Ostrander is a musician best known for having been a member of the American alternative rock band Blue October.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7927a348819082ad531955cdf30d |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfd42f73b88190bb69bffa6a8b9efe |
completed | March 22, 2026, 11:36 a.m. |
| NEDg | Description generation | batch_69bfd4b21f3881909c1ba8fb37e6a4e5 |
completed | March 22, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfd51d63fc8190a8b229845b1ba933 |
completed | March 22, 2026, 11:40 a.m. |
Created at: March 20, 2026, 1:44 p.m.