Triple

T11113242
Position Surface form Disambiguated ID Type / Status
Subject Moshe Katsav E262813 entity
Predicate precededBy P97 FINISHED
Object Ezer Weizman E262816 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: Ezer Weizman | Statement: [Moshe Katsav, precededBy, Ezer Weizman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ezer Weizman
Context triple: [Moshe Katsav, precededBy, Ezer Weizman]
  • A. Ezer Weizman chosen
    Ezer Weizman was an Israeli military commander and politician who served as the seventh President of Israel and previously as a key architect of the Israeli Air Force.
  • B. Shaul Mofaz
    Shaul Mofaz is an Israeli military leader and politician who served as Chief of the General Staff of the Israel Defense Forces and later as Israel’s Minister of Defense.
  • C. Yigal Allon
    Yigal Allon was an Israeli military commander, Palmach leader, and politician who served in senior government roles, including acting prime minister.
  • D. Yitzhak Navon
    Yitzhak Navon was an Israeli politician, diplomat, and writer who served as the fifth President of Israel and was known for promoting cultural diversity and peace.
  • E. Oren Uziel
    Oren Uziel is an American screenwriter and filmmaker known for genre-blending projects such as The Cloverfield Paradox and 22 Jump Street.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa523588190a25d241ccc6a9679 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441cb16bc81908b5321506f655e38 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.