Triple
T34351173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Claude Arnault |
E881580
|
entity |
| Predicate | partnerOrganizationConnection |
P27502
|
FINISHED |
| Object | Swedish Academy |
—
|
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: Swedish Academy | Statement: [Jean-Claude Arnault, partnerOrganizationConnection, Swedish Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerOrganizationConnection Context triple: [Jean-Claude Arnault, partnerOrganizationConnection, Swedish Academy]
-
A.
connectedOrganization
Indicates that there is an established relationship or association between two organizations, such that one is linked or affiliated with the other in some relevant context.
-
B.
partnerInOrganizationWith
Indicates that two entities are associated as partners within the same organization or organizational context.
-
C.
partnerAffiliation
Indicates that two entities are formally associated as partners within an organization, project, or collaborative relationship.
-
D.
hasPartnerOrganization
chosen
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
-
E.
relationshipToOrganization
Indicates the nature or type of connection an entity has with a specific organization, such as affiliation, membership, or role.
- F. None of above.
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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: May 1, 2026, 1:58 a.m.