Triple

T19973001
Position Surface form Disambiguated ID Type / Status
Subject Daniel Garber E480124 entity
Predicate name P16 FINISHED
Object Daniel Garber 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: Daniel Garber | Statement: [Daniel Garber, name, Daniel Garber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Garber
Context triple: [Daniel Garber, name, Daniel Garber]
  • A. Daniel Garber chosen
    Daniel Garber was an American Impressionist painter best known for his luminous landscapes of the Pennsylvania countryside and his association with the New Hope art colony.
  • B. Gregory Nussbaum
    Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
  • C. David Botstein
    David Botstein is an influential American geneticist and educator known for pioneering methods in human genetic mapping and for his leadership roles at major research institutions and in industry.
  • D. David Goldstein
    David Goldstein is the birth name of Rupert Holmes, the British-American singer-songwriter, playwright, and creator of the hit song "Escape (The Piña Colada Song)."
  • E. David Goldstein
    David Goldstein is a common personal name shared by multiple individuals across various professions, including science, business, and the arts.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bca94c0819095c902a411c4c4b8 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.