Triple

T10076108
Position Surface form Disambiguated ID Type / Status
Subject Emily Jordan Folger E213760 entity
Predicate familyName P18 FINISHED
Object Folger E222683 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: Folger | Statement: [Emily Jordan Folger, familyName, Folger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Folger
Context triple: [Emily Jordan Folger, familyName, Folger]
  • A. Folger chosen
    Folger is the middle name of Francis Folger Franklin, the son of American statesman and inventor Benjamin Franklin.
  • B. Folger Shakespeare Library
    The Folger Shakespeare Library is a renowned research institution and cultural center in Washington, D.C., housing the world’s largest collection of Shakespeare materials and rare Renaissance books and manuscripts.
  • C. Folger Estate
    Folger Estate is a historic country estate in Woodside, California, known for its preserved mansion, gardens, and equestrian facilities within Wunderlich County Park.
  • D. Bodley
    Bodley is an English surname most famously associated with Sir Thomas Bodley, the founder of Oxford’s Bodleian Library.
  • E. Oldcastle
    Oldcastle is a small community located within the town of Tecumseh in southwestern Ontario, Canada.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.