Triple
T12528850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rut Brandt |
E299507
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rut |
E742387
|
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: Rut | Statement: [Rut Brandt, givenName, Rut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rut Context triple: [Rut Brandt, givenName, Rut]
-
A.
Rut
chosen
"Rut" is a song by The Killers from their album "Wonderful Wonderful," noted for its emotional lyrics and atmospheric rock sound.
-
B.
Rhoose
Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
-
C.
Rutupiae
Rutupiae was a major Roman military and port settlement in southeastern Britain, serving as a key gateway between the province of Britannia and the European mainland.
-
D.
Manglerud
Manglerud is a residential neighborhood in Oslo, Norway, known for its post-war housing, local sports culture, and proximity to green areas.
-
E.
Mangold
Mangold is a surname most notably associated with former American football center Nick Mangold of the New York Jets.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.