Triple
T8420734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Solomon |
E198842
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Abraham Solomon |
E198842
|
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: Abraham Solomon | Statement: [Abraham Solomon, name, Abraham Solomon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraham Solomon Context triple: [Abraham Solomon, name, Abraham Solomon]
-
A.
Abraham Solomon
chosen
Abraham Solomon was a 19th-century British painter known for his genre scenes and association with the Victorian art world.
-
B.
Abraham Moss
Abraham Moss is an area in Manchester, England, known for its community facilities and as a stop on the Manchester Metrolink light rail system.
-
C.
Moses Levy
Moses Levy was an early American figure known for his role in establishing the Pennsylvania Academy of the Fine Arts, one of the oldest art museums and schools in the United States.
-
D.
Abraham Benrubi
Abraham Benrubi is an American character actor known for his roles in television series like "ER" and "Parker Lewis Can't Lose" as well as various film appearances.
-
E.
Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03476b288190b3df8f9f4d502ea8 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.