Triple

T7557984
Position Surface form Disambiguated ID Type / Status
Subject The Howards of Virginia E178720 entity
Predicate starring P1507 FINISHED
Object Martha Scott E283962 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: Martha Scott | Statement: [The Howards of Virginia, starring, Martha Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Scott
Context triple: [The Howards of Virginia, starring, Martha Scott]
  • A. Martha Scott chosen
    Martha Scott was an American actress known for her work in film, television, and theater, including prominent roles in classic Hollywood epics.
  • B. Martha Hunt
    Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
  • C. Catherine Amy Dawson Scott
    Catherine Amy Dawson Scott was a British novelist and playwright best known for founding PEN International, the worldwide association of writers.
  • D. Martha McMillan Roberts
    Martha McMillan Roberts was a Farm Security Administration photographer known for documenting American life during the Great Depression era.
  • E. Marguerite Harrison
    Marguerite Harrison was an American journalist and spy known for her intelligence work in post–World War I Europe and the Soviet Union.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8db3d508190850ed41854d69838 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd66d1507c8190a84a69cd0130bb3b completed April 1, 2026, 6:41 p.m.
Created at: March 27, 2026, 3:50 p.m.