Triple
T14983145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Knesset |
E373630
|
entity |
| Predicate | hasSpeaker |
P981
|
FINISHED |
| Object | Nahum Nir |
E1091461
|
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: Nahum Nir | Statement: [2nd Knesset, hasSpeaker, Nahum Nir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nahum Nir Context triple: [2nd Knesset, hasSpeaker, Nahum Nir]
-
A.
Nahum Nir
chosen
Nahum Nir was an Israeli politician and lawyer who served as Speaker of the Knesset and was active in the early years of the State of Israel.
-
B.
Menachem Elon
Menachem Elon was an Israeli jurist, Supreme Court justice, and leading scholar of Jewish law who significantly shaped the integration of halakha into modern Israeli jurisprudence.
-
C.
Shlomo Ben-Ami
Shlomo Ben-Ami is an Israeli diplomat, historian, and former foreign minister known for his prominent role in the Israeli–Palestinian peace process.
-
D.
Moshe Edery
Moshe Edery is an Israeli film producer and distributor known for his significant role in the Israeli cinema industry.
-
E.
Omer Bar-Lev
Omer Bar-Lev is an Israeli politician and former military officer who has served as a member of the Knesset and held senior roles in Israel’s security and public safety establishment.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef603b788190ad747d73af2363d4 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 2:52 a.m.