Triple

T4501204
Position Surface form Disambiguated ID Type / Status
Subject Israeli capture of Old City of Jerusalem E101222 entity
Predicate notableFigure P4290 FINISHED
Object Moshe Dayan E65417 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: Moshe Dayan | Statement: [Israeli capture of Old City of Jerusalem, notableFigure, Moshe Dayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moshe Dayan
Context triple: [Israeli capture of Old City of Jerusalem, notableFigure, Moshe Dayan]
  • A. Moshe Dayan chosen
    Moshe Dayan was an Israeli military leader and politician, famed for his role in shaping Israel’s defense strategy and his iconic eye-patch symbolizing the country’s early wars.
  • B. Ehud Dayan
    Ehud Dayan is one of the children of famed Israeli military leader and politician Moshe Dayan.
  • 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. Pinhas Lavon
    Pinhas Lavon was an Israeli politician and trade union leader who served as Israel’s Minister of Defense in the 1950s and was central to the “Lavon Affair” political scandal.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56f9dca08190b926f40e201a3e97 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f8d498c81908fe1ac5f799f2e1a completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1 p.m.