Triple

T2667924
Position Surface form Disambiguated ID Type / Status
Subject Ben-Hur E55681 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: [Ben-Hur, starring, Martha Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Scott
Context triple: [Ben-Hur, 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. Martha McMillan Roberts
    Martha McMillan Roberts was a Farm Security Administration photographer known for documenting American life during the Great Depression era.
  • D. Mary Stuart McHenry
    Mary Stuart McHenry was the wife of American statesman and former U.S. Secretary of State James Baker.
  • E. Elizabeth Champlin Mason
    Elizabeth Champlin Mason was the wife of U.S. naval hero Commodore Oliver Hazard Perry, noted for her connection to his prominent role in the War of 1812.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98a4ee88190aa7ef914e316ba31 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4c13494819095821f44916329c9 completed March 14, 2026, 4:32 a.m.
Created at: March 6, 2026, 9:54 p.m.