Triple

T19803103
Position Surface form Disambiguated ID Type / Status
Subject Robert Weinberg E475736 entity
Predicate name P16 FINISHED
Object Robert Weinberg 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: Robert Weinberg | Statement: [Robert Weinberg, name, Robert Weinberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Weinberg
Context triple: [Robert Weinberg, name, Robert Weinberg]
  • A. Robert Weinberg chosen
    Robert Weinberg is a prominent American cancer biologist best known for his pioneering work on oncogenes and tumor suppressor genes, which helped establish the molecular basis of cancer.
  • B. Bruce E. Melnick
    Bruce E. Melnick is a former NASA astronaut and U.S. Coast Guard officer who flew as a mission specialist on two Space Shuttle missions in the early 1990s.
  • C. Robert Weil
    Robert Weil is a name shared by several notable individuals, including figures in fields such as winemaking, philanthropy, and academia.
  • D. Peter J. Weinberger
    Peter J. Weinberger is an American computer scientist known for his contributions to programming languages and tools at Bell Labs, including co-creating the AWK programming language.
  • E. William M. Finkelstein
    William M. Finkelstein is an American television writer and producer known for his work on acclaimed legal and crime dramas such as L.A. Law and NYPD Blue.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654257cb4819096fb2aa5d1f7fbb0 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.