Triple

T14397079
Position Surface form Disambiguated ID Type / Status
Subject Simplexity E356975 entity
Predicate author P4 FINISHED
Object Jeffrey Kluger E72325 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: Jeffrey Kluger | Statement: [Simplexity, author, Jeffrey Kluger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Kluger
Context triple: [Simplexity, author, Jeffrey Kluger]
  • A. Jeffrey Kluger chosen
    Jeffrey Kluger is an American science and technology journalist and author best known for co-writing the book about the Apollo 13 mission that inspired the film adaptation.
  • B. John Tierney
    John Tierney is an American journalist and author best known for his work as a columnist for The New York Times, where he often writes on science, politics, and urban policy.
  • C. Jonathan Liebesman
    Jonathan Liebesman is a South African film director known for helming large-scale action and science fiction movies such as Battle: Los Angeles and Wrath of the Titans.
  • D. Kurt Eichenwald
    Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
  • E. Marc Rosenthal
    Marc Rosenthal is an American illustrator and cartoonist known for his humorous, retro-style artwork in children’s books and magazines.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.