Triple

T3131282
Position Surface form Disambiguated ID Type / Status
Subject Moshe Dayan E65417 entity
Predicate child P120 FINISHED
Object Yael Dayan E330449 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: Yael Dayan | Statement: [Moshe Dayan, child, Yael Dayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yael Dayan
Context triple: [Moshe Dayan, child, Yael Dayan]
  • A. Ruth Dayan chosen
    Ruth Dayan was an Israeli social activist and founder of the Maskit fashion house, known for promoting traditional crafts and empowering disadvantaged communities.
  • B. Merav Michaeli
    Merav Michaeli is an Israeli politician, former journalist, and feminist activist who has served as leader of the Israeli Labor Party and as a member of the Knesset.
  • C. Shulamit Shamir
    Shulamit Shamir was an Israeli public figure and social activist, best known as the wife of former Prime Minister Yitzhak Shamir and for her work on behalf of the elderly and Holocaust survivors.
  • D. Haviv Ilan
    Haviv Ilan is a business executive who leads the global semiconductor company Texas Instruments as its chief executive officer.
  • E. Einat Kalisch-Rotem
    Einat Kalisch-Rotem is an Israeli urban planner and politician who became the first female mayor of Haifa.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224d860dc819095a864619bc29411 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.