Triple

T2765621
Position Surface form Disambiguated ID Type / Status
Subject Death and Sex E61329 entity
Predicate author P4 FINISHED
Object Dorion Sagan E9987 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: Dorion Sagan | Statement: [Death and Sex, author, Dorion Sagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorion Sagan
Context triple: [Death and Sex, author, Dorion Sagan]
  • A. Dorion Sagan chosen
    Dorion Sagan is an American science writer and essayist known for his works on evolution, ecology, and complexity, and for coauthoring influential books with his mother, biologist Lynn Margulis.
  • B. Nicholas Sagan
    Nicholas Sagan is the son of science communicator Ann Druyan and famed astronomer Carl Sagan.
  • C. Eric W. Kaler
    Eric W. Kaler is an American chemical engineer and academic leader who has served as president of multiple major research universities.
  • D. David Vonderhaar
    David Vonderhaar is a video game designer best known as a leading multiplayer and design director on the Call of Duty: Black Ops series.
  • E. David Alan Stevenson
    David Alan Stevenson was a prominent Scottish civil engineer and lighthouse designer from the famous Stevenson family, responsible for many lighthouses around the Scottish coast in the late 19th and early 20th centuries.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd55a96c8190a109a1f0e8752477 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08639b9108190badd8d22aaf74544 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 9:57 p.m.