Triple

T1511496
Position Surface form Disambiguated ID Type / Status
Subject Robert Serber E32022 entity
Predicate spouse P13 FINISHED
Object Virginia Serber E172423 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: Virginia Serber | Statement: [Robert Serber, spouse, Virginia Serber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Serber
Context triple: [Robert Serber, spouse, Virginia Serber]
  • A. Charlotte Serber chosen
    Charlotte Serber was an American librarian who headed the technical library at the Los Alamos Laboratory during the Manhattan Project, playing a key role in organizing and safeguarding classified scientific information.
  • B. Jane Belson
    Jane Belson was a British barrister best known as the wife of author Douglas Adams.
  • C. Sally Kornbluth
    Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
  • D. Barbara Siggers Franklin
    Barbara Siggers Franklin was an American gospel singer and pianist best known as the mother of soul legend Aretha Franklin.
  • E. Millicent Siegel
    Millicent Siegel is the daughter of notorious American mobster Benjamin "Bugsy" Siegel and has been involved in preserving and discussing her father's controversial legacy.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61db41c88190a2d97cc9cbbc3f06 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3702076881908e07d770da1a6e4d completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.