Triple

T3251991
Position Surface form Disambiguated ID Type / Status
Subject Av E68202 entity
Predicate alsoCalled P39 FINISHED
Object Menachem Av E170596 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: Menachem Av | Statement: [Av, alsoCalled, Menachem Av]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menachem Av
Context triple: [Av, alsoCalled, Menachem Av]
  • A. Menachem chosen
    Menachem is a Hebrew given name commonly associated with Jewish men, notably borne by figures such as Israeli Prime Minister Menachem Begin.
  • B. Peretz Naftali
    Peretz Naftali was an Israeli economist and politician who served as a minister in Israel’s early governments and was a member of the Knesset for the Mapai party.
  • C. Mordechai Bentov
    Mordechai Bentov was an Israeli politician and signatory of the Israeli Declaration of Independence who served in several ministerial roles in the early years of the state.
  • D. Mivtsa Shlomo
    Mivtsa Shlomo is the Hebrew name for Operation Solomon, the 1991 Israeli airlift that rapidly evacuated thousands of Ethiopian Jews to Israel.
  • E. Meir Teper
    Meir Teper is a film producer best known for his work on notable movies such as "What's Eating Gilbert Grape."
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf425394819084ae6304da211c00 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ec4375881908d7f22ef4a80b60c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.