Triple

T489714
Position Surface form Disambiguated ID Type / Status
Subject Henry Kissinger E9957 entity
Predicate spouse P13 FINISHED
Object Ann Fleischer E34270 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: Ann Fleischer | Statement: [Henry Kissinger, spouse, Ann Fleischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Fleischer
Context triple: [Henry Kissinger, spouse, Ann Fleischer]
  • A. Ann Fleischer chosen
    Ann Fleischer is best known as the first wife of former U.S. Secretary of State and Nobel Peace Prize laureate Henry Kissinger.
  • B. April H. Foley
    April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
  • C. Roberta Sue Ficker
    Roberta Sue Ficker is the birth name of Suzanne Farrell, the renowned American ballerina and longtime muse of choreographer George Balanchine.
  • D. Carol Doris Schatz
    Carol Doris Schatz was the longtime wife of linguist and political activist Noam Chomsky, known for her work as an educational specialist and her influence on his personal and intellectual life.
  • E. Ann Schmeltz Bowers
    Ann Schmeltz Bowers is an American technology executive and philanthropist known for her early leadership roles at Intel and Apple and for her significant charitable contributions, particularly in education and technology.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0e0a9648190b6a3b2da3a3b51e6 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6ef6be388190b4a8da5795a19aaf completed March 7, 2026, 6:31 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.