Triple
T18900446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammy Ofer Stadium |
E462324
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sammy Ofer |
—
|
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: Sammy Ofer | Statement: [Sammy Ofer Stadium, namedAfter, Sammy Ofer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammy Ofer Context triple: [Sammy Ofer Stadium, namedAfter, Sammy Ofer]
-
A.
Sammy Ofer
chosen
Sammy Ofer was an Israeli shipping magnate and billionaire philanthropist known for building one of the world’s largest private maritime fleets and supporting major cultural and educational institutions.
-
B.
Yoel Friedman
Yoel Friedman is an individual notable enough to be recognized as a bearer of the Friedman surname, though specific widely known public details about him are not clearly established.
-
C.
Dov Frohman
Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
-
D.
Uri Fruchtmann
Uri Fruchtmann is an Israeli film producer and political activist best known for his work in documentary and socially engaged cinema.
-
E.
Jay Shofet
Jay Shofet is an Israeli environmental advocate and sustainability professional known for his work in conservation and public policy.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c5289ba48190a6825c4db2e5e48d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.