Triple

T836493
Position Surface form Disambiguated ID Type / Status
Subject Yitzhak Rabin E18078 entity
Predicate child P120 FINISHED
Object Dalia Rabin E98663 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: Dalia Rabin | Statement: [Yitzhak Rabin, child, Dalia Rabin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalia Rabin
Context triple: [Yitzhak Rabin, child, Dalia Rabin]
  • A. Haviv Ilan
    Haviv Ilan is a business executive who leads the global semiconductor company Texas Instruments as its chief executive officer.
  • B. Leah Rabin chosen
    Leah Rabin was an Israeli public figure and peace activist, best known as the widow of Prime Minister Yitzhak Rabin and a prominent advocate for the Israeli–Palestinian peace process.
  • C. Paula Ben-Gurion
    Paula Ben-Gurion was the wife of Israel’s first Prime Minister, David Ben-Gurion, and a nurse and public figure who supported his political career and early Zionist activities.
  • D. Einat Kalisch-Rotem
    Einat Kalisch-Rotem is an Israeli urban planner and politician who became the first female mayor of Haifa.
  • E. Tal Rabin
    Tal Rabin is a prominent computer scientist and cryptographer known for her influential work in secure multiparty computation and cryptographic protocols.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abce08348190b716e3ce5a638f99 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929624e88190bb7e1c644b8cc52b completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.