Triple

T14356518
Position Surface form Disambiguated ID Type / Status
Subject Fear No Evil E355982 entity
Predicate relatedTo P37 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: [Fear No Evil, relatedTo, refusenik movement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: refusenik movement
Context triple: [Fear No Evil, relatedTo, 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.