Triple

T8455658
Position Surface form Disambiguated ID Type / Status
Subject Emilie Benes Brzezinski E199912 entity
Predicate hasChild P369 FINISHED
Object Ian Brzezinski E201759 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: Ian Brzezinski | Statement: [Emilie Benes Brzezinski, hasChild, Ian Brzezinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Brzezinski
Context triple: [Emilie Benes Brzezinski, hasChild, Ian Brzezinski]
  • A. Ian Brzezinski chosen
    Ian Brzezinski is an American foreign policy and defense expert who has held senior roles in U.S. government and at prominent think tanks, particularly on NATO and European security issues.
  • B. Peter Kornbluh
    Peter Kornbluh is an American historian and investigative journalist known for his work on U.S. foreign policy and declassified government documents, particularly regarding Latin America.
  • C. John Mark Deutch
    John Mark Deutch is an American chemist, academic, and former government official who served as Director of Central Intelligence in the mid-1990s.
  • D. David Kershenbaum
    David Kershenbaum is an American record producer known for his work with prominent artists across folk, rock, and pop music since the 1970s.
  • E. Bob Murawski
    Bob Murawski is an American film editor best known for his work on movies such as "The Hurt Locker," for which he won an Academy Award.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48e0ae481908b40f7f124b0551e completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef2fa85ac8190adb7ddeb672bc550 completed April 2, 2026, 10:51 p.m.
Created at: March 30, 2026, 6:10 p.m.