Triple
T22868964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyneg Shabes group |
E567132
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Eliyahu Gutkowski |
—
|
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: Eliyahu Gutkowski | Statement: [Oyneg Shabes group, hasMember, Eliyahu Gutkowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eliyahu Gutkowski Context triple: [Oyneg Shabes group, hasMember, Eliyahu Gutkowski]
-
A.
Eliyahu Gutkowski
chosen
Eliyahu Gutkowski was a Jewish contributor to the clandestine Oyneg Shabes Archive, which documented life and atrocities in the Warsaw Ghetto during World War II.
-
B.
Shlomo Eckstein
Shlomo Eckstein was an Israeli economist and academic leader known for his contributions to economic policy and higher education in Israel.
-
C.
Eliyahu Sasson
Eliyahu Sasson was an Israeli politician and diplomat who played a significant role in the early political institutions of the State of Israel.
-
D.
Eliezer Shkedi
Eliezer Shkedi is a former commander of the Israeli Air Force who later became CEO of El Al Israel Airlines.
-
E.
Moshe Edery
Moshe Edery is an Israeli film producer and distributor known for his significant role in the Israeli cinema industry.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f0384a88190a0fbf57b5dca8d5a |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.