Triple
T5185019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giller |
E117008
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Jack Rabinovitch |
E241761
|
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: Jack Rabinovitch | Statement: [Giller, founder, Jack Rabinovitch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Rabinovitch Context triple: [Giller, founder, Jack Rabinovitch]
-
A.
Jack Rabinovitch
chosen
Jack Rabinovitch was a Canadian businessman and philanthropist best known for creating one of Canada’s most prestigious literary awards, the Giller Prize.
-
B.
Jay Rabinowitz
Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
-
C.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Jack Roth
Jack Roth is a British actor known for his roles in film and television, and is the son of acclaimed actor Tim Roth.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d466cbc8190a91dcc0c26aba817 |
completed | March 22, 2026, 11:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.