Triple

T4643796
Position Surface form Disambiguated ID Type / Status
Subject Rita Levi-Montalcini E101715 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: [Rita Levi-Montalcini, awardReceived, Lasker Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasker Award
Context triple: [Rita Levi-Montalcini, 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6234e8108190b985270b9ddd1f3a completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadc5dc081908d56a49895105efb completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.