Triple

T8218312
Position Surface form Disambiguated ID Type / Status
Subject Luc Montagnier E191994 entity
Predicate familyName P18 FINISHED
Object Montagnier E191994 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: Montagnier | Statement: [Luc Montagnier, familyName, Montagnier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montagnier
Context triple: [Luc Montagnier, familyName, Montagnier]
  • A. Luc Montagnier chosen
    Luc Montagnier was a French virologist best known for co-discovering the human immunodeficiency virus (HIV), a breakthrough that earned him the Nobel Prize in Physiology or Medicine.
  • B. Dominique Fouchier
    Dominique Fouchier is a French local politician who serves as the mayor of the commune of Tournefeuille in southwestern France.
  • C. Françoise Barré-Sinoussi
    Françoise Barré-Sinoussi is a French virologist and Nobel Prize laureate recognized for her co-discovery of the human immunodeficiency virus (HIV).
  • D. Howard Martin Temin
    Howard Martin Temin was an American virologist and Nobel laureate renowned for discovering reverse transcriptase and helping establish the provirus theory of cancer.
  • E. Al Charpentier
    Al Charpentier is an engineer best known for his key role in developing the Commodore 64 home computer.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7770cee881908ade560d49427895 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedfb6f608190aebfa720b56325e5 completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:45 p.m.