Triple

T14202580
Position Surface form Disambiguated ID Type / Status
Subject Mafdal E351999 entity
Predicate notableLeader P304 FINISHED
Object Effi Eitam E1033514 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: Effi Eitam | Statement: [Mafdal, notableLeader, Effi Eitam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Effi Eitam
Context triple: [Mafdal, notableLeader, Effi Eitam]
  • A. Effi Eitam chosen
    Effi Eitam is an Israeli brigadier general-turned-politician known for his leadership in religious Zionist politics and his tenure as a Knesset member and government minister.
  • B. Yona Efrat
    Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • C. Karmei Tzur
    Karmei Tzur is an Israeli settlement in the Gush Etzion region of the West Bank, located north of Hebron and known as a small religious community.
  • D. Nami Melumad
    Nami Melumad is an Israeli-Dutch film and television composer known for her work on major franchises including the Marvel Cinematic Universe and Star Trek.
  • E. Yehudit Katzir
    Yehudit Katzir is an Israeli author known for her influential contributions to contemporary Hebrew literature, particularly her introspective and emotionally nuanced fiction.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f589a08190b71ad4e69d92ffd0 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.