Triple

T13646017
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Cotton Institute E326102 entity
Predicate affiliation P10 FINISHED
Object Dorothy Cotton E64437 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 Cotton | Statement: [Dorothy Cotton Institute, affiliation, Dorothy Cotton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Cotton
Context triple: [Dorothy Cotton Institute, affiliation, Dorothy Cotton]
  • A. Dorothy Cotton chosen
    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.
  • B. Dorothy Good
    Dorothy Good was a young child accused of witchcraft during the Salem witch trials in colonial Massachusetts.
  • C. Dorothy Revier
    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.
  • D. Dorothy Adams
    Dorothy Adams was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 9:51 p.m.