Triple

T7239323
Position Surface form Disambiguated ID Type / Status
Subject Phyllis Pratt E155313 entity
Predicate spouse P13 FINISHED
Object Paul Nitze E16535 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: Paul Nitze | Statement: [Phyllis Pratt, spouse, Paul Nitze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Nitze
Context triple: [Phyllis Pratt, spouse, Paul Nitze]
  • A. Paul Nitze chosen
    Paul Nitze was a prominent American diplomat and defense strategist who played a key role in shaping U.S. Cold War military and nuclear policy.
  • B. William A. Nitze
    William A. Nitze is an American energy and environmental policy expert known for his leadership roles in climate change initiatives and international environmental organizations.
  • C. William Bundy
    William Bundy was an American foreign policy expert and government official who played a key role in shaping U.S. strategy during the Vietnam War era.
  • D. McGeorge Bundy
    McGeorge Bundy was an American foreign policy expert who served as National Security Advisor to Presidents John F. Kennedy and Lyndon B. Johnson, playing a key role in shaping U.S. strategy during the Vietnam War.
  • E. Robert Q. Lovett
    Robert Q. Lovett is a film editor known for his work on the 1984 crime-drama film "The Cotton Club."
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810b4a2fc8190bd1dd7dd8cac28c7 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:55 p.m.