Triple

T23464458
Position Surface form Disambiguated ID Type / Status
Subject Renato Dulbecco E569066 entity
Predicate hasSurname P18 FINISHED
Object Dulbecco 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: Dulbecco | Statement: [Renato Dulbecco, hasSurname, Dulbecco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dulbecco
Context triple: [Renato Dulbecco, hasSurname, Dulbecco]
  • A. Dulbecco chosen
    Dulbecco is the surname of Renato Dulbecco, an Italian virologist and Nobel Prize laureate recognized for his pioneering work on the interaction between viruses and the genetic material of cells.
  • B. Lwoff
    Lwoff is the surname of André Lwoff, a Nobel Prize–winning French microbiologist and virologist known for his work on the genetic regulation of viruses.
  • C. Gurdon
    Gurdon is a surname most notably associated with Sir John B. Gurdon, the British developmental biologist and Nobel laureate recognized for his pioneering work in nuclear reprogramming and cloning.
  • D. Richet
    Richet is a French surname most notably associated with Charles Richet, the Nobel Prize–winning physiologist who discovered and named anaphylaxis.
  • E. Nissalke
    Nissalke is the surname of Tom Nissalke, an American professional basketball coach known for his stints in the NBA and ABA.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6f9e59081909e8cf224ee46109c completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.