Triple
T31806427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Éric |
E811884
|
entity |
| Predicate | equivalentNameInScandinavianLanguages |
P174862
|
FINISHED |
| Object | Erik |
—
|
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: Erik | Statement: [Éric, equivalentNameInScandinavianLanguages, Erik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentNameInScandinavianLanguages Context triple: [Éric, equivalentNameInScandinavianLanguages, Erik]
-
A.
norseEquivalent
Indicates that one entity is the counterpart or analogue of another within Norse mythology or Norse cultural context.
-
B.
hasNameInNorwegian
Indicates that an entity is associated with a specific name expressed in the Norwegian language.
-
C.
equivalentNameInScottishGaelic
Indicates that one entity’s name is the equivalent form of another entity’s name specifically in Scottish Gaelic.
-
D.
ethnicNameInSwedish
Indicates that a particular ethnic group is referred to by a specific name in the Swedish language.
-
E.
hasNameInDanish
Indicates that an entity is associated with a specific name expressed in the Danish language.
- F. None of above. chosen
Provenance (4 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: April 30, 2026, 11:42 p.m.