Triple

T6790506
Position Surface form Disambiguated ID Type / Status
Subject Open Software License 3.0 E155918 entity
Predicate draftedBy P2210 FINISHED
Object Lawrence Rosen E618952 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: Lawrence Rosen | Statement: [Open Software License 3.0, draftedBy, Lawrence Rosen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Rosen
Context triple: [Open Software License 3.0, draftedBy, Lawrence Rosen]
  • A. Lawrence Rosen chosen
    Lawrence Rosen is an American attorney and open source advocate known for his influential work on software licensing, including drafting widely used open source licenses.
  • B. Philip Goldstein
    Philip Goldstein, better known as Philip Guston, was a prominent 20th-century painter associated with Abstract Expressionism who later became renowned for his bold, cartoonish figurative works.
  • C. Ian Kahn
    Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
  • D. Ronald M. Cohen
    Ronald M. Cohen was an American screenwriter known for his work on politically charged and socially conscious films and television projects.
  • E. David Kessler
    David Kessler is the ill-fated American tourist who becomes a werewolf after a brutal attack in the horror-comedy film "An American Werewolf in London."
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:15 p.m.