Triple

T5377296
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Revier E112992 entity
Predicate name P16 FINISHED
Object Dorothy Revier E112992 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: Dorothy Revier | Statement: [Dorothy Revier, name, Dorothy Revier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Revier
Context triple: [Dorothy Revier, name, Dorothy Revier]
  • A. Dorothy Revier chosen
    Dorothy Revier was an American silent and early sound film actress known for her roles in adventure and drama films of the 1920s and 1930s.
  • B. Dorothy Harvey
    Dorothy Harvey was the first wife of acclaimed American film director and screenwriter John Huston.
  • C. Dorothy Good
    Dorothy Good was a young child accused of witchcraft during the Salem witch trials in colonial Massachusetts.
  • D. Dorothy Cotton
    Dorothy Cotton was a prominent civil rights activist and educator who served as the education director for the Southern Christian Leadership Conference and worked closely with Martin Luther King Jr.
  • E. Dorothy Squires
    Dorothy Squires was a Welsh singer known for her powerful voice and dramatic torch songs, who enjoyed significant popularity in the mid-20th century.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4e76cf881909e45c3652a372a70 completed March 28, 2026, 2:25 p.m.
Created at: March 20, 2026, 2:03 p.m.