Triple

T13246954
Position Surface form Disambiguated ID Type / Status
Subject Abaye E315428 entity
Predicate alternativeName P39 FINISHED
Object Nachmani E543788 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: Nachmani | Statement: [Abaye, alternativeName, Nachmani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nachmani
Context triple: [Abaye, alternativeName, Nachmani]
  • A. Nachman chosen
    Nachman is a masculine given name of Hebrew origin, traditionally used in Jewish communities.
  • B. Dahn Ben Amotz
    Dahn Ben Amotz was an Israeli writer, satirist, and radio broadcaster known for his influential role in shaping modern Israeli culture and humor.
  • C. Shmuel
    Shmuel is the Hebrew form of the biblical name Samuel, commonly used in Jewish religious and cultural contexts.
  • D. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • E. Abba Ahimeir
    Abba Ahimeir was a prominent early 20th-century Zionist activist, journalist, and ideologue who helped shape the militant, nationalist current within Revisionist Zionism in Mandatory Palestine.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff37f7448190b9c555cae010d3b6 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.