Triple

T10149924
Position Surface form Disambiguated ID Type / Status
Subject Holden Chapel E232604 entity
Predicate namedAfter P63 FINISHED
Object Samuel Holden E232604 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 Holden | Statement: [Holden Chapel, namedAfter, Samuel Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Holden
Context triple: [Holden Chapel, namedAfter, Samuel Holden]
  • A. Samuel Holden chosen
    Samuel Holden was an influential 18th-century British politician and merchant whose prominence and philanthropy led to institutions such as Holden Chapel being named in his honor.
  • B. Samuel Hartwell
    Samuel Hartwell was a member of the colonial-era Hartwell family of Massachusetts, associated with early American settlement and Revolutionary War history.
  • C. Samuel Collins
    Samuel Collins was an individual significant enough in local history or development that the community of Collinsville, California, was named in his honor.
  • D. Samuel Franklin
    Samuel Franklin was a lesser-known sibling in the large Franklin family that produced the famed American statesman and inventor Benjamin Franklin.
  • E. Samuel Ballard
    Samuel Ballard is a fictional barrister and conservative, somewhat pompous head of chambers in John Mortimer’s Rumpole of the Bailey stories.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6369c848190984394eedf2f07eb completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.