Triple
T35190195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Gabrielsson |
E1016098
|
entity |
| Predicate | cohabitingPartnerOf |
P86696
|
FINISHED |
| Object | Stieg Larsson |
—
|
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: Stieg Larsson | Statement: [Eva Gabrielsson, cohabitingPartnerOf, Stieg Larsson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cohabitingPartnerOf Context triple: [Eva Gabrielsson, cohabitingPartnerOf, Stieg Larsson]
-
A.
coSpouse
Indicates that two individuals are married to each other as spouses.
-
B.
partnerInUnionWith
Indicates a mutual partnership or union relationship between two entities, such as a civil, domestic, or similar legally or socially recognized union.
-
C.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
D.
unmarriedPartner
chosen
Indicates a relationship where one person is a romantic or domestic partner of another, and they are not legally married to each other.
-
E.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dc57dac81908b5aa4957ca02bd2 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.