Triple
T23212216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimon Even |
E580626
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Even |
—
|
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: Even | Statement: [Shimon Even, hasSurname, Even]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Even Context triple: [Shimon Even, hasSurname, Even]
-
A.
Even
The Even are an Indigenous Siberian people traditionally engaged in reindeer herding, hunting, and fishing across northeastern Russia.
-
B.
Even
chosen
Even is a surname most notably associated with Shimon Even, an influential Israeli computer scientist known for his foundational work in algorithms and graph theory.
-
C.
Evens
The Evens are an Indigenous Tungusic-speaking people of northeastern Siberia, traditionally known for reindeer herding, hunting, and a nomadic lifestyle in the Russian Far East.
-
D.
Evjen
Evjen is a village in Trøndelag county, Norway, located within the former municipality of Orkdal.
-
E.
evenko
evenko is a major Canadian entertainment company that promotes and produces concerts, festivals, and live events, particularly in and around Montreal.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191620378819096362252c3b819b6 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.