Triple

T11087804
Position Surface form Disambiguated ID Type / Status
Subject William Henry Vanderbilt III E262166 entity
Predicate mother P120 FINISHED
Object Margaret Emerson E265558 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: Margaret Emerson | Statement: [William Henry Vanderbilt III, mother, Margaret Emerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Emerson
Context triple: [William Henry Vanderbilt III, mother, Margaret Emerson]
  • A. Margaret Emerson chosen
    Margaret Emerson was a wealthy American heiress and socialite from the Bromo-Seltzer fortune, known for her prominence in early 20th-century high society.
  • B. Isabel Bannerman
    Isabel Bannerman is a renowned British garden designer, best known for her romantic, atmospheric landscapes created in partnership with her husband Julian Bannerman.
  • C. Margaret Johnston
    Margaret Johnston was a British actress known for her work on stage and in films during the mid-20th century.
  • D. Margaret Dunlop
    Margaret Dunlop was the wife of British actor Patrick Troughton, best known for his role as the Second Doctor in the long-running television series "Doctor Who."
  • E. Margaret Watson
    Margaret Watson is a fictional character portrayed by American actress and consumer advocate Betty Furness.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c5008081908f59612243fa4f7a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbfe70fc8190adf97e3ea7d06527 completed April 19, 2026, 12:35 p.m.
Created at: April 8, 2026, 9:27 p.m.