Triple

T17838510
Position Surface form Disambiguated ID Type / Status
Subject Mary Elizabeth Aitcheson E445456 entity
Predicate alsoKnownAs P39 FINISHED
Object Tipper Gore NE NERFINISHED

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: Tipper Gore | Statement: [Mary Elizabeth Aitcheson, alsoKnownAs, Tipper Gore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tipper Gore
Context triple: [Mary Elizabeth Aitcheson, alsoKnownAs, Tipper Gore]
  • A. Tipper Gore chosen
    Tipper Gore is an American social issues advocate and co-founder of the Parents Music Resource Center, known for her campaigns for content labeling in music and her role as Second Lady of the United States during Al Gore’s vice presidency.
  • B. Wopke
    Wopke is a Dutch masculine given name most notably borne by politician Wopke Hoekstra.
  • C. Anita Bryant
    Anita Bryant is an American singer and former beauty queen who became widely known both for her pop hits in the 1960s and for her later controversial anti-gay rights activism.
  • D. Teresa Brewer
    Teresa Brewer was a popular American singer known for her lively pop and novelty hits in the 1950s, including the chart-topping song "Music! Music! Music!".
  • E. Brenda Heywood
    Brenda Heywood is known as the wife of American actor Michael Badalucco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d29830c81909fa3ef5a352921b8 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.