Triple
T4190157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SXSW |
E89014
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Roland Swenson
Roland Swenson is an American music and media executive best known as a co-founder and longtime leader of the South by Southwest (SXSW) festival in Austin, Texas.
|
E420566
|
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: Roland Swenson | Statement: [SXSW, foundedBy, Roland Swenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Swenson Context triple: [SXSW, foundedBy, Roland Swenson]
-
A.
Mark Gustafson
Mark Gustafson is an American stop-motion animation director and animator best known for co-directing Guillermo del Toro's acclaimed film "Pinocchio."
-
B.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
C.
Jeff Malmberg
Jeff Malmberg is an American documentary filmmaker best known for directing the acclaimed film "Marwencol," which inspired the narrative of "Welcome to Marwen."
-
D.
Curt Skoog
Curt Skoog is an American local government leader who serves as the mayor of Overland Park, Kansas.
-
E.
Ed Sadowski
Ed Sadowski was an early professional basketball center who played in the 1940s, including in the Basketball Association of America, a precursor to the NBA.
- 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: Roland Swenson Triple: [SXSW, foundedBy, Roland Swenson]
Generated description
Roland Swenson is an American music and media executive best known as a co-founder and longtime leader of the South by Southwest (SXSW) festival in Austin, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roland Swenson Target entity description: Roland Swenson is an American music and media executive best known as a co-founder and longtime leader of the South by Southwest (SXSW) festival in Austin, Texas.
-
A.
Mark Gustafson
Mark Gustafson is an American stop-motion animation director and animator best known for co-directing Guillermo del Toro's acclaimed film "Pinocchio."
-
B.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
C.
Jeff Malmberg
Jeff Malmberg is an American documentary filmmaker best known for directing the acclaimed film "Marwencol," which inspired the narrative of "Welcome to Marwen."
-
D.
Curt Skoog
Curt Skoog is an American local government leader who serves as the mayor of Overland Park, Kansas.
-
E.
Ed Sadowski
Ed Sadowski was an early professional basketball center who played in the 1940s, including in the Basketball Association of America, a precursor to the NBA.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a05e634819094bbe145f86d8786 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58e337aec819092020d46ee235fd1 |
completed | March 14, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58e9f50948190a40254375e76153c |
completed | March 14, 2026, 4:36 p.m. |
Created at: March 9, 2026, 3:46 p.m.