Triple

T15301424
Position Surface form Disambiguated ID Type / Status
Subject Cracking the Aging Code E365797 entity
Predicate author P4 FINISHED
Object Josh Mitteldorf E364393 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: Josh Mitteldorf | Statement: [Cracking the Aging Code, author, Josh Mitteldorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Mitteldorf
Context triple: [Cracking the Aging Code, author, Josh Mitteldorf]
  • A. Josh Mitteldorf chosen
    Josh Mitteldorf is an American biologist and science writer known for his work on evolutionary theories of aging and for coauthoring popular science books that challenge conventional views on evolution.
  • B. Kevin J. Wilson
    Kevin J. Wilson is a New Zealand actor known for his work in film and television, including a prominent role in the acclaimed biographical drama "An Angel at My Table."
  • C. Michael T. Sauer
    Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
  • D. Michael Wibberly
    Michael Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
  • E. Jon Miller
    Jon Miller is an acclaimed American sportscaster best known as a longtime Major League Baseball play-by-play announcer, particularly for ESPN and the San Francisco Giants.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677d34748190b5f723b5fd18b3a0 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 3:15 a.m.