Triple

T5635060
Position Surface form Disambiguated ID Type / Status
Subject Goodrich E147926 entity
Predicate hasNotableBearer P458 FINISHED
Object Samuel Goodrich E262161 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: Samuel Goodrich | Statement: [Goodrich, hasNotableBearer, Samuel Goodrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Goodrich
Context triple: [Goodrich, hasNotableBearer, Samuel Goodrich]
  • A. S. G. Goodrich chosen
    S. G. Goodrich was a 19th-century American author, editor, and publisher best known for his popular educational works under the pseudonym "Peter Parley."
  • B. Horace Bushnell
    Horace Bushnell was a 19th-century American Congregational minister and theologian known for his influential and controversial views on Christian doctrine and religious language.
  • C. Edward Mills
    Edward Mills was a British architect known for designing the International Maritime Organization (IMO) Headquarters in London.
  • D. Sidney Franklin
    Sidney Franklin was an American film producer and director best known for his work during Hollywood's Golden Age, including acclaimed literary adaptations.
  • E. Benjamin Goodrich
    Benjamin Goodrich is the son of acclaimed British-American actress Olivia de Havilland.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d6d2dfc8190a2eabb8beda04ee5 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.