Triple
T4146582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanislaw |
E89797
|
entity |
| Predicate | etymologicalRelation |
P2530
|
FINISHED |
| Object |
Stanislaus
Stanislaus is a Latinized form of the Slavic given name Stanisław, historically borne by several notable saints and figures in Central and Eastern Europe.
|
E414832
|
NE FINISHED |
How this triple was built (4 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: Stanislaus | Statement: [Stanislaw, etymologicalRelation, Stanislaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanislaus Context triple: [Stanislaw, etymologicalRelation, Stanislaus]
-
A.
St. Anthony
St. Anthony is a small suburban city in Minnesota that forms part of the Minneapolis–Saint Paul metropolitan area.
-
B.
Savio
Savio is an Italian surname most notably associated with Mario Savio, a key figure in the 1960s American Free Speech Movement.
-
C.
Sant Anna
Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
-
D.
Sutter
Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
-
E.
Santa Bárbara
Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stanislaus Triple: [Stanislaw, etymologicalRelation, Stanislaus]
Generated description
Stanislaus is a Latinized form of the Slavic given name Stanisław, historically borne by several notable saints and figures in Central and Eastern Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stanislaus Target entity description: Stanislaus is a Latinized form of the Slavic given name Stanisław, historically borne by several notable saints and figures in Central and Eastern Europe.
-
A.
St. Anthony
St. Anthony is a small suburban city in Minnesota that forms part of the Minneapolis–Saint Paul metropolitan area.
-
B.
Savio
Savio is an Italian surname most notably associated with Mario Savio, a key figure in the 1960s American Free Speech Movement.
-
C.
Sant Anna
Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
-
D.
Sutter
Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
-
E.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
- F. None of above. chosen
Provenance (5 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af025fef088190b42515d0a854a1ae |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576d5379081908300afbb3a6fe5e4 |
completed | March 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b577c2b784819096d8218dd1c1478d |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5782cc448819080e306952da24ac0 |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:43 p.m.