Triple

T8451070
Position Surface form Disambiguated ID Type / Status
Subject She Said E199798 entity
Predicate subject P450 FINISHED
Object #MeToo movement E18035 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: #MeToo movement | Statement: [She Said, subject, #MeToo movement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: #MeToo movement
Context triple: [She Said, subject, #MeToo movement]
  • A. MeToo movement chosen
    The MeToo movement is a global social campaign against sexual harassment and assault that gained prominence in the late 2010s as survivors publicly shared their experiences and challenged systemic abuse of power.
  • B. Me Too
    "Me Too" is a 2016 upbeat pop song by Meghan Trainor that celebrates self-confidence and body positivity.
  • C. Time’s Up movement
    The Time’s Up movement is an initiative founded in 2018 to combat sexual harassment and gender inequality, particularly in the workplace and entertainment industry, through legal support, advocacy, and systemic reform.
  • D. Me Too (novel)
    Me Too is a novel whose story inspired the film "All of Me."
  • E. Stop the Violence Movement
    Stop the Violence Movement is a hip-hop–driven anti-violence initiative founded by rapper KRS-One in the late 1980s to address and reduce violence within urban communities and the rap scene.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dd14484819082f0319455011a22 completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.