Triple

T9152318
Position Surface form Disambiguated ID Type / Status
Subject Leonard Vole E219615 entity
Predicate inheritsFrom P3800 FINISHED
Object Emily French E786612 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: Emily French | Statement: [Leonard Vole, inheritsFrom, Emily French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily French
Context triple: [Leonard Vole, inheritsFrom, Emily French]
  • A. Emily French chosen
    Emily French is a wealthy, elderly woman whose murder and contested will are central to the plot of Agatha Christie's courtroom drama "The Witness for the Prosecution."
  • B. Michelle French
    Michelle French is an American soccer coach and former U.S. international player known for leading the University of Portland Pilots women's soccer program.
  • C. Michelle Auriol
    Michelle Auriol was the wife of French politician and first President of the Fourth Republic, Vincent Auriol, and served as France’s First Lady during his presidency.
  • D. Allison French
    Allison French is a fictional character played by Irish actress Dominique McElligott, best known from the television series "Hell on Wheels."
  • E. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96cf4548190a3a45172f0e9d0ec completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b7f95f88190af9c88105abb2964 completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:20 p.m.