Triple
T26981956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Bildt |
E679625
|
entity |
| Predicate | hasFullGivenName |
P125674
|
FINISHED |
| Object | Nils Daniel Carl |
—
|
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: Nils Daniel Carl | Statement: [Carl Bildt, hasFullGivenName, Nils Daniel Carl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullGivenName Context triple: [Carl Bildt, hasFullGivenName, Nils Daniel Carl]
-
A.
hasGivenNames
Indicates that an entity possesses one or more personal (given) names assigned to it.
-
B.
hasGivenNameTo
Indicates that one entity has assigned or provided a given (first) name to another entity.
-
C.
hasFirstNameOnly
Indicates that the entity is identified or recorded using only a first name, without any additional name components such as a middle or last name.
-
D.
hasGivenNameCombination
chosen
Indicates that an entity is associated with a specific combination or sequence of given (first) names.
-
E.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 6:46 a.m.