Triple
T17321316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland Swenson |
E420566
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Roland Swenson |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Roland Swenson, knownAs, Roland Swenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Swenson Context triple: [Roland Swenson, knownAs, Roland Swenson]
-
A.
Roland Swenson
chosen
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.
-
B.
Karl Swenson
Karl Swenson was an American character actor known for his numerous supporting roles in film, radio, and television during the mid-20th century.
-
C.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
-
D.
John Mattson
John Mattson is an American screenwriter best known for his work on the 1994 family comedy film "Milk Money."
-
E.
Paul Shmyr
Paul Shmyr was a Canadian professional ice hockey defenceman known for his strong defensive play and leadership in both the World Hockey Association and the NHL.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439cf5394819089bff5f8dc2e8241 |
completed | April 19, 2026, 2:11 a.m. |
Created at: April 10, 2026, 5:43 a.m.