Triple
T7651504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengt Holmström |
E173262
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bengt |
E218628
|
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: Bengt | Statement: [Bengt Holmström, givenName, Bengt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bengt Context triple: [Bengt Holmström, givenName, Bengt]
-
A.
Bengt
chosen
Bengt is a Scandinavian given name, commonly used in Sweden, that derives from the name Benedict.
-
B.
Ingemund Bengtsson
Ingemund Bengtsson was a Swedish Social Democratic politician who served in several ministerial posts and later as Speaker of the Riksdag.
-
C.
Pehr
Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
-
D.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
E.
Göran
Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701770ac881909452348c9547ab47 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89aeb66c081909f3a3d6385637c25 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.