Triple

T4720757
Position Surface form Disambiguated ID Type / Status
Subject Caroline Webster Schermerhorn Astor E104759 entity
Predicate familyName P18 FINISHED
Object Schermerhorn E315263 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: Schermerhorn | Statement: [Caroline Webster Schermerhorn Astor, familyName, Schermerhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schermerhorn
Context triple: [Caroline Webster Schermerhorn Astor, familyName, Schermerhorn]
  • A. Schermerhorn chosen
    Schermerhorn is the birth surname of American actress Alison Brie, known for her roles in "Community" and "Mad Men."
  • B. Gridley Bryant
    Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
  • C. Chauncey
    Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
  • D. Blackmer
    Blackmer is a surname most notably associated with American actor Sidney Blackmer, known for his work on stage and in film during the mid-20th century.
  • E. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642a1a808190afeefc9d65e6c539 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108fe3b08190b3d306ca4b39860d completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.