Triple

T14236536
Position Surface form Disambiguated ID Type / Status
Subject Third Knesset E352894 entity
Predicate hasSpeaker P981 FINISHED
Object Nahum Nir
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.
E1091461 NE FINISHED

How this triple was built (4 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: [Third Knesset, hasSpeaker, Nahum Nir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nahum Nir
Context triple: [Third Knesset, hasSpeaker, Nahum Nir]
  • A. 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.
  • B. 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.
  • C. Moshe Edery
    Moshe Edery is an Israeli film producer and distributor known for his significant role in the Israeli cinema industry.
  • D. Uri Tadmor
    Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
  • E. Moshe Aviv
    Moshe Aviv was an Israeli businessman and real estate developer best known for his major role in shaping modern Israeli urban skylines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nahum Nir
Triple: [Third Knesset, hasSpeaker, Nahum Nir]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nahum Nir
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. Moshe Edery
    Moshe Edery is an Israeli film producer and distributor known for his significant role in the Israeli cinema industry.
  • D. Uri Tadmor
    Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
  • E. Moshe Aviv
    Moshe Aviv was an Israeli businessman and real estate developer best known for his major role in shaping modern Israeli urban skylines.
  • F. None of above. chosen

Provenance (5 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0e6abc819097c0c9bdc08387f6 completed May 8, 2026, 1:31 a.m.
NEDg Description generation batch_69fd3dc46b408190b7c515156f81f1fc completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3eb045488190b44812eb638807ff completed May 8, 2026, 1:38 a.m.
Created at: April 10, 2026, 1:07 a.m.