Triple
T12075504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuyvesandt |
E287534
|
entity |
| Predicate | usedAsFamilyNameOf |
P23349
|
FINISHED |
| Object | people of Dutch descent |
—
|
LITERAL FINISHED |
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: people of Dutch descent | Statement: [Stuyvesandt, usedAsFamilyNameOf, people of Dutch descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsFamilyNameOf Context triple: [Stuyvesandt, usedAsFamilyNameOf, people of Dutch descent]
-
A.
usedAsSurname
chosen
Indicates that something functions as a family name borne by a person or group of people.
-
B.
usedAsBirthSurnameOf
Indicates that a particular surname served as the family name an individual was born with.
-
C.
usedAsSurnameInCountry
Indicates that a particular name functions as a family surname within the specified country.
-
D.
usedAsFirstNameOf
Indicates that one entity functions as the given or first name of another entity.
-
E.
namedForFamily
Indicates that one entity is named in honor of, or derived from the name of, a particular family or family group.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.