Triple
T22805584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torell |
E564523
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Tore |
—
|
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: Tore | Statement: [Torell, relatedName, Tore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tore Context triple: [Torell, relatedName, Tore]
-
A.
Tore
chosen
Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
-
B.
Tore
Tore is a small village in the Black Isle region of the Scottish Highlands, known primarily as a local crossroads and rural community.
-
C.
Torez
Torez is a town in eastern Ukraine’s Donetsk region, internationally known as the nearby area where Malaysia Airlines Flight 17 was shot down in 2014.
-
D.
Torell
Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
-
E.
Tovere
Tovere is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy’s Lake Como area.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5b37cc8190a41d8f304ba8d609 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.