Triple
T7352709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosika Schwimmer |
E169541
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schwimmer |
E391144
|
NE 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: Schwimmer | Statement: [Rosika Schwimmer, familyName, Schwimmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwimmer Context triple: [Rosika Schwimmer, familyName, Schwimmer]
-
A.
Schwimmer
chosen
Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
-
B.
Nuotaea
Nuotaea is a small village settlement located on the atoll of Abaiang in the island nation of Kiribati.
-
C.
Speedo
Speedo is a globally recognized swimwear and aquatic sports brand known for its performance-focused swimsuits and gear used by elite swimmers.
-
D.
Reinhardt Schwimmer
Reinhardt Schwimmer was an optometrist and mob associate who was among the seven men murdered in Chicago’s infamous 1929 Saint Valentine’s Day Massacre.
-
E.
Rob Dressel
Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10b4adc81909a5a0eacaf2b1887 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa9dfbac8190993c866cda169633 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.