Triple
T21851153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Andersson |
E539506
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Andersson |
—
|
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: Andersson | Statement: [Harriet Andersson, familyName, Andersson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andersson Context triple: [Harriet Andersson, familyName, Andersson]
-
A.
Andersson
chosen
Andersson is a common Swedish surname borne by numerous notable individuals across fields such as music, sports, and politics.
-
B.
Per Andersson
Per Andersson is a Swedish comedian and actor known for his energetic performances in television, film, and theater.
-
C.
Anders Andersson
Anders Andersson is a Swedish former professional footballer known for his midfield play with clubs such as Malmö FF and Benfica as well as the Sweden national team.
-
D.
Anders Bard
Anders Bard is a film producer known for his work on the movie "Like Father."
-
E.
Thomas Andersson
Thomas Andersson is a relatively common Scandinavian personal name shared by multiple individuals, including professionals in fields such as sports, academia, and the arts.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5904108190af67609a9ab8616e |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:56 p.m.