Triple
T22460776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Carasso |
E555223
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Isaac Carasso |
—
|
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: Isaac Carasso | Statement: [Isaac Carasso, name, Isaac Carasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isaac Carasso Context triple: [Isaac Carasso, name, Isaac Carasso]
-
A.
Isaac Carasso
chosen
Isaac Carasso was a Spanish entrepreneur best known for creating the Danone brand and pioneering the commercial production of yogurt in Europe in the early 20th century.
-
B.
Isaac Palatnik
Isaac Palatnik is the son of Brazilian kinetic art pioneer Abraham Palatnik.
-
C.
Isaac Wolfson
Isaac Wolfson was a British businessman and philanthropist best known for building the Great Universal Stores retail empire and for his extensive charitable contributions to education and science.
-
D.
Isaac Schwartz
Isaac Schwartz was a prominent Soviet and Russian composer best known for his film scores, particularly for classic movies of the mid-20th century.
-
E.
Isaac Solomon
Isaac Solomon was a notable figure significant enough in local history or development to have the community of Solomons, Maryland, named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7eb5688190bd5e41d4d8189668 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.