Triple

T18985621
Position Surface form Disambiguated ID Type / Status
Subject Ronald Schwab E464549 entity
Predicate name P16 FINISHED
Object Ronald Schwab 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: Ronald Schwab | Statement: [Ronald Schwab, name, Ronald Schwab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Schwab
Context triple: [Ronald Schwab, name, Ronald Schwab]
  • A. Ronald Schwab chosen
    Ronald Schwab is an individual notable enough to be recognized as a prominent bearer of the surname Schwab.
  • B. Peter Schwab
    Peter Schwab is an Australian rules football figure best known as a former Hawthorn player and later coach in the Australian Football League (AFL).
  • C. Eric Van Lustbader
    Eric Van Lustbader is an American novelist best known for his thrillers and for continuing Robert Ludlum’s Jason Bourne series.
  • D. Kenneth A. Roberts
    Kenneth A. Roberts was an American Democratic politician who served as a U.S. Representative from Alabama in the mid-20th century.
  • E. James H. Merrell
    James H. Merrell is an American historian and ethnohistorian known for his influential scholarship on Native American history and cultures in colonial North America.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.