Triple

T6488578
Position Surface form Disambiguated ID Type / Status
Subject Ann Deever E146576 entity
Predicate associatedWithFamily P566 FINISHED
Object Keller family E433113 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: Keller family | Statement: [Ann Deever, associatedWithFamily, Keller family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keller family
Context triple: [Ann Deever, associatedWithFamily, Keller family]
  • A. Keller family chosen
    The Keller family is an American family best known as the childhood family of Helen Keller, whose historic home Ivy Green in Tuscumbia, Alabama, is preserved as a museum.
  • B. Schueller family
    The Schueller family is a prominent French dynasty best known for founding and controlling the L'Oréal cosmetics empire and for its major philanthropic influence.
  • C. Kemper family
    The Kemper family is a prominent American banking and philanthropic dynasty known for its long-standing influence in finance, business, and civic life, particularly in the Midwest.
  • D. Kemeny family
    The Kemeny family is a notable family lineage associated with individuals such as Magda Elizabeth Kemeny.
  • E. Kelly family
    The Kelly family is a prominent Irish-American crime family historically involved in organized criminal activities.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b792f48190b301cdc643db8ddf completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.