Triple
T17105655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okun |
E415091
|
entity |
| Predicate | mayReferTo |
P37
|
FINISHED |
| Object | Lev Okun |
E89293
|
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: Lev Okun | Statement: [Okun, mayReferTo, Lev Okun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lev Okun Context triple: [Okun, mayReferTo, Lev Okun]
-
A.
Lev Okun
chosen
Lev Okun was a prominent Soviet theoretical physicist known for his influential work in particle physics and contributions to the understanding of quarks, weak interactions, and the foundations of quantum field theory.
-
B.
Sergei Okun
Sergei Okun is a relatively obscure individual about whom no widely known public information is available.
-
C.
Chaim Okun
Chaim Okun is an individual notable enough to be recognized as a namesake or distinguished bearer of the surname Okun.
-
D.
Max Abramovitz
Max Abramovitz was a prominent American architect known for his modernist designs of major cultural and institutional buildings, including notable performance arts centers and university facilities.
-
E.
Morris Okun
Morris Okun is an American social psychologist known for his research on aging, volunteerism, and the factors that influence well-being in older adults.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2683fc81908af2df9012addecb |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016741fe6c81908ebbb022749915ab |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:35 a.m.