Triple

T6097287
Position Surface form Disambiguated ID Type / Status
Subject Renato Dulbecco E135907 entity
Predicate awardReceived P11 FINISHED
Object Lasker Award E79506 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: Lasker Award | Statement: [Renato Dulbecco, awardReceived, Lasker Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasker Award
Context triple: [Renato Dulbecco, awardReceived, Lasker Award]
  • A. Lasker Award chosen
    The Lasker Award is a prestigious American medical science prize often regarded as a precursor to the Nobel Prize, honoring major advances in biomedical research and public health.
  • B. Frisch Medal
    The Frisch Medal is a prestigious biennial award in econometrics given for outstanding applied or theoretical research published in the journal Econometrica.
  • C. Gregori Aminoff Prize
    The Gregori Aminoff Prize is a prestigious Swedish scientific award recognizing outstanding contributions to the field of crystallography.
  • D. Remsen Award
    The Remsen Award is a prestigious chemistry honor recognizing outstanding research achievements, particularly in organic and bioorganic chemistry.
  • E. Heinz Award
    The Heinz Award is a prestigious American honor recognizing individuals for outstanding contributions in areas such as the environment, the arts, the economy, and the human condition.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a987ce081908cbe22940f31ee2f completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254365708190b8feb95dfb2b730d completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.