Triple

T8617369
Position Surface form Disambiguated ID Type / Status
Subject Myra Gardner E204073 entity
Predicate memberOf P10 FINISHED
Object Gardner family E670430 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: Gardner family | Statement: [Myra Gardner, memberOf, Gardner family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardner family
Context triple: [Myra Gardner, memberOf, Gardner family]
  • A. Gardner family chosen
    The Gardner family is a familial lineage or household associated with individuals such as Melvin Gardner.
  • B. Parsons family
    The Parsons family is an Anglo-Irish aristocratic lineage prominent in Irish political, scientific, and social life, notably associated with the Earls of Rosse.
  • C. Gurney family
    The Gurney family was a prominent English Quaker banking and philanthropic dynasty influential in finance, social reform, and religious life in the 18th and 19th centuries.
  • D. Hopkins family
    The Hopkins family is a lineage or household associated with individuals bearing the Hopkins surname, including John Hopkins.
  • E. Fisher family
    The Fisher family is a prominent philanthropic family known for its significant contributions to real estate, urban economics, and higher education initiatives.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea923ae148190a973ef8ad6ccac9a completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:26 p.m.