Triple
T23276575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vegard Forren |
E588735
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Brann |
—
|
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: Brann | Statement: [Vegard Forren, memberOfSportsTeam, Brann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brann Context triple: [Vegard Forren, memberOfSportsTeam, Brann]
-
A.
Brann
chosen
Brann is a prominent Norwegian football club based in Bergen, known for its passionate fanbase and historic presence in the Eliteserien.
-
B.
Brann
Brann is an American drummer, vocalist, and songwriter best known as a member of the progressive metal band Mastodon.
-
C.
Storhamar Dragons
Storhamar Dragons is a Norwegian professional ice hockey team based in Hamar, known for its success in the country’s top league.
-
D.
Lillebror
Lillebror is the young boy protagonist who befriends the mischievous flying man Karlsson in Astrid Lindgren’s beloved children’s stories.
-
E.
Soneren
Soneren is a lake located in the municipality of Sigdal in Viken county, Norway, known for its scenic natural surroundings and outdoor recreation opportunities.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
Created at: April 17, 2026, 4:48 p.m.