Triple
T34958308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annika Hansen |
E1008177
|
entity |
| Predicate | borgDesignation |
P151323
|
FINISHED |
| Object | Seven of Nine, Tertiary Adjunct of Unimatrix 01 |
—
|
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: Seven of Nine, Tertiary Adjunct of Unimatrix 01 | Statement: [Annika Hansen, borgDesignation, Seven of Nine, Tertiary Adjunct of Unimatrix 01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borgDesignation Context triple: [Annika Hansen, borgDesignation, Seven of Nine, Tertiary Adjunct of Unimatrix 01]
-
A.
eraDesignation
Indicates the specific historical or chronological era associated with an entity or event.
-
B.
bdDesignation
chosen
Indicates that one entity is formally assigned or designated as having a particular role, status, or classification in relation to another entity.
-
C.
collectionDesignation
Indicates that one entity assigns or specifies a particular collection label or designation for another entity.
-
D.
bandDesignation
Indicates that one entity is formally assigned or labeled as belonging to a particular band, group, or category.
-
E.
associatedDesignation
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.