Triple

T11424445
Position Surface form Disambiguated ID Type / Status
Subject Benzion Netanyahu E270709 entity
Predicate spouse P13 FINISHED
Object Tzila Segal E270709 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: Tzila Segal | Statement: [Benzion Netanyahu, spouse, Tzila Segal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tzila Segal
Context triple: [Benzion Netanyahu, spouse, Tzila Segal]
  • A. Tzila Segal chosen
    Tzila Segal was the mother of Israeli Prime Minister Benjamin Netanyahu and part of a prominent Zionist family.
  • B. Elsa Zylberstein
    Elsa Zylberstein is a French actress known for her nuanced performances in film and television, often in emotionally complex dramatic roles.
  • C. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • D. Orly Castel-Bloom
    Orly Castel-Bloom is an Israeli author known for her innovative, often surrealist fiction that has made her a prominent voice in contemporary Hebrew literature.
  • E. Miriam Palatnik
    Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee864bf89081909fa336393e59f073 completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:35 p.m.