Triple
T19737985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swen Nater |
E474037
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Swen |
—
|
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: Swen | Statement: [Swen Nater, givenName, Swen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swen Context triple: [Swen Nater, givenName, Swen]
-
A.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
-
B.
Sven
Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
-
C.
Svene
Svene is a small village in Flesberg Municipality in Buskerud county, Norway.
-
D.
Swen Nater
chosen
Swen Nater is a Dutch-born former professional basketball center known for his dominant rebounding and successful careers in both the ABA and NBA despite never starting in college.
-
E.
Soren
Soren is the young barn owl protagonist of the fantasy film "Legend of the Guardians: The Owls of Ga’Hoole," who embarks on a heroic quest after escaping capture.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ea688819097b6838e6a3b3d4a |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.