Triple
T22453589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulia Gwinn |
E555053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gwinn |
—
|
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: Gwinn | Statement: [Giulia Gwinn, familyName, Gwinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwinn Context triple: [Giulia Gwinn, familyName, Gwinn]
-
A.
Gwinn, Michigan
chosen
Gwinn, Michigan is a small unincorporated community and census-designated place in Michigan’s Upper Peninsula known historically as a planned company town for the Cleveland-Cliffs Iron Company.
-
B.
Ridgley
Ridgley is a rural locality in Tasmania, Australia, situated inland from the coastal city of Burnie.
-
C.
Houghton
Houghton is a wealthy, historically significant suburb of Johannesburg, South Africa, known for being the longtime home of Nelson Mandela.
-
D.
Houghton
Houghton is a surname and place name of English origin, commonly found in the United Kingdom and former British colonies.
-
E.
Houghton
Houghton is a residential and waterfront neighborhood in the city of Kirkland, Washington, known for its parks, lake access, and small-town feel within the greater Seattle metropolitan area.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4d6368819082cafbbd83339fbf |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.