Triple
T11953067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvid Genetz |
E284475
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arvid |
E952052
|
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: Arvid | Statement: [Arvid Genetz, givenName, Arvid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arvid Context triple: [Arvid Genetz, givenName, Arvid]
-
A.
Arvid
chosen
Arvid is a given name of Scandinavian origin commonly used as a masculine first or middle name.
-
B.
Arvid Nelson
Arvid Nelson is a comic book writer best known for his work on series like Rex Mundi and various licensed properties, including tie-ins to major film franchises.
-
C.
Arvid Horn
Arvid Horn was an influential Swedish statesman and diplomat who led the pro-parliamentary Cap Party and shaped Sweden’s foreign and domestic policy during the early Age of Liberty in the 18th century.
-
D.
Arve
The Arve is a river in southwestern Switzerland and southeastern France that flows through Geneva before joining the Rhône.
-
E.
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.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.