Triple

T19210256
Position Surface form Disambiguated ID Type / Status
Subject Gravity and Grace E480338 entity
Predicate author P4 FINISHED
Object Simone Weil NE NERFINISHED

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: Simone Weil | Statement: [Gravity and Grace, author, Simone Weil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simone Weil
Context triple: [Gravity and Grace, author, Simone Weil]
  • A. Simone Weil chosen
    Simone Weil was a French philosopher, mystic, and political activist known for her profound reflections on justice, suffering, and spirituality.
  • B. Gabriel Marcel
    Gabriel Marcel was a 20th-century French philosopher and playwright known as a leading Christian existentialist, emphasizing themes of hope, fidelity, and the mystery of human existence.
  • C. Ruth Weil
    Ruth Weil is known as the former wife of American stage and film actor Frank Langella.
  • D. Raïssa Maritain
    Raïssa Maritain was a Russian-born French writer, poet, and Catholic philosopher known for her influential spiritual and intellectual partnership with her husband, Jacques Maritain.
  • E. Jean Hyppolite
    Jean Hyppolite was a French philosopher and influential Hegel scholar whose work helped shape 20th-century French existentialism and structuralism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a0d1248190953e36e44f0cafdd completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:21 p.m.