Triple

T14369986
Position Surface form Disambiguated ID Type / Status
Subject Avital Sharansky E356333 entity
Predicate movement P81 FINISHED
Object refusenik movement E579867 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: refusenik movement | Statement: [Avital Sharansky, movement, refusenik movement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: refusenik movement
Context triple: [Avital Sharansky, movement, refusenik movement]
  • A. refusenik movement chosen
    The refusenik movement was a Soviet-era human rights struggle led by Jews and other dissidents who were denied permission to emigrate and faced persecution for seeking religious freedom and the right to leave the USSR.
  • B. Boycott
    "Boycott" is a 2001 historical drama film depicting Martin Luther King Jr.'s leadership during the Montgomery bus boycott.
  • C. Rexism
    Rexism was a far-right, authoritarian and Catholic nationalist political movement in Belgium that became notorious for its collaboration with Nazi Germany during World War II.
  • D. SJW
    SJW is the IATA airport code for Shijiazhuang Zhengding International Airport, serving the city of Shijiazhuang in Hebei Province, China.
  • E. Stop the Steal movement
    The Stop the Steal movement was a pro-Trump campaign that falsely claimed widespread voter fraud in the 2020 U.S. presidential election and helped fuel efforts to overturn the results.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550e677c8190837c3b9ccb64f0cd completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.