Triple

T8556620
Position Surface form Disambiguated ID Type / Status
Subject Buttonwood Agreement E202583 entity
Predicate hasSignatory P173 FINISHED
Object Peter Anspach E202583 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: Peter Anspach | Statement: [Buttonwood Agreement, hasSignatory, Peter Anspach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Anspach
Context triple: [Buttonwood Agreement, hasSignatory, Peter Anspach]
  • A. Peter Anspach chosen
    Peter Anspach was one of the early New York brokers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
  • B. Guy Schuessler
    Guy Schuessler is a British actor and theatre professional best known as the husband of acclaimed stage and screen actress Dame Harriet Walter.
  • C. Michael Waldstein
    Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
  • D. George Weidler
    George Weidler was an American saxophonist and band musician best known for his brief early marriage to singer and actress Doris Day.
  • E. Peter Schlessel
    Peter Schlessel is an American film executive and producer best known for leading and founding major independent film companies, including FilmDistrict.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88bcce081909e12e4037a0e6323 completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cb212808190af26adc154006d52 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:19 p.m.