Triple

T3515037
Position Surface form Disambiguated ID Type / Status
Subject Biloxi E74285 entity
Predicate hasLandmark P105 FINISHED
Object Beauvoir E365358 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: Beauvoir | Statement: [Biloxi, hasLandmark, Beauvoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauvoir
Context triple: [Biloxi, hasLandmark, Beauvoir]
  • A. Beauvoir chosen
    Beauvoir is the historic Biloxi, Mississippi estate that served as the postwar home of Confederate president Jefferson Davis and now operates as a museum and presidential library.
  • B. Simone de Beauvoir
    Simone de Beauvoir was a French existentialist philosopher, novelist, and feminist theorist whose work, including "The Second Sex," profoundly influenced modern feminist thought.
  • C. Sylvia Bataille
    Sylvia Bataille was a French actress known for her roles in 1930s and 1940s cinema and for her marriage to writer Georges Bataille.
  • D. Brigitte Fouré
    Brigitte Fouré is a French politician known for serving as the mayor of the city of Amiens.
  • E. Jean-Paul Sartre
    Jean-Paul Sartre was a 20th-century French existentialist philosopher, playwright, novelist, and political activist known for works such as "Being and Nothingness" and "No Exit."
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc30362c81908ca7497a6a935cc6 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bc4e9988190921d193e84e53bf1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.