Triple

T10604744
Position Surface form Disambiguated ID Type / Status
Subject Frank Rich E275843 entity
Predicate name P16 FINISHED
Object Frank Rich E275843 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: Frank Rich | Statement: [Frank Rich, name, Frank Rich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Rich
Context triple: [Frank Rich, name, Frank Rich]
  • A. Frank Rich chosen
    Frank Rich is an American essayist and former New York Times theater critic who later became a prominent television producer and creative consultant, notably on acclaimed HBO series.
  • B. Michael Kinsley
    Michael Kinsley is an American political journalist and commentator known for his influential work in opinion journalism and his leadership roles at several major publications.
  • C. Richard Cohen
    Richard Cohen is an American television producer and former husband of Tina Sinatra, the youngest daughter of legendary singer Frank Sinatra.
  • D. Richard Cohen
    Richard Cohen is an American businessman best known as a co-founder and early leader of the shopping center real estate company Macerich.
  • E. Rich Lowry
    Rich Lowry is an American conservative political commentator, author, and longtime editor-in-chief of the National Review magazine.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4992248190b640d743ccf02c82 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.