Triple
T13871268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chet Holmgren |
E333454
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Holmgren |
E832908
|
NE FINISHED |
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: Holmgren | Statement: [Chet Holmgren, familyName, Holmgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holmgren Context triple: [Chet Holmgren, familyName, Holmgren]
-
A.
Holmgren
chosen
Holmgren is a surname most prominently associated with Mike Holmgren, a Super Bowl–winning American football coach known for leading the Green Bay Packers and Seattle Seahawks.
-
B.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
C.
Sundberg
Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
-
D.
Östergren
Östergren is a Swedish surname most notably associated with acclaimed novelist and screenwriter Klas Östergren.
-
E.
Blomgren
Blomgren is a Swedish surname borne by various notable individuals in fields such as acting, sports, and public life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.