Triple
T11704546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persson |
E278204
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Per Persson |
E278204
|
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: Per Persson | Statement: [Persson, hasNotableBearer, Per Persson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Per Persson Context triple: [Persson, hasNotableBearer, Per Persson]
-
A.
Persson
chosen
Persson is a common Swedish surname borne by numerous notable individuals in fields such as politics, sports, and entertainment.
-
B.
Pehr
Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
-
C.
Per Wästberg
Per Wästberg is a Swedish writer, critic, and long-serving member of the Swedish Academy known for his novels, essays, and prominent role in the literary world.
-
D.
Pär
Pär is a Swedish given name most notably borne by Nobel Prize–winning author Pär Lagerkvist.
-
E.
Jörgen Persson
Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49c8c38819083d83f5fdec52b7f |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0195739348190b40a378ca227cf85 |
completed | April 28, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:40 p.m.