Triple

T8410443
Position Surface form Disambiguated ID Type / Status
Subject André Lwoff E198608 entity
Predicate name P16 FINISHED
Object André Lwoff E198608 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: André Lwoff | Statement: [André Lwoff, name, André Lwoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Lwoff
Context triple: [André Lwoff, name, André Lwoff]
  • A. André Lwoff chosen
    André Lwoff was a French microbiologist and Nobel laureate renowned for his pioneering work on the genetics and life cycle of viruses and bacteria.
  • B. Jacques Monod
    Jacques Monod was a French biochemist and Nobel laureate renowned for his pioneering work on gene regulation and the lac operon.
  • C. Salvador Luria
    Salvador Luria was an Italian-American microbiologist and Nobel laureate whose pioneering work in bacteriophage genetics helped establish the foundations of molecular biology.
  • D. Renato Dulbecco
    Renato Dulbecco was an Italian virologist and Nobel Prize laureate renowned for his pioneering work on the interaction between viruses and the genetic material of cells, which advanced the understanding of cancer.
  • E. François Jacob
    François Jacob was a French biologist and Nobel laureate renowned for his pioneering work on gene regulation and the operon model.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83dec1f08190ae08719e860b29fa completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0317cb188190b207bcaffb629a75 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:05 p.m.