Triple

T395254
Position Surface form Disambiguated ID Type / Status
Subject Blues for a Red Planet E8968 entity
Predicate features P997 FINISHED
Object Carl Sagan E93 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: Carl Sagan | Statement: [Blues for a Red Planet, features, Carl Sagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Sagan
Context triple: [Blues for a Red Planet, features, Carl Sagan]
  • A. Carl Sagan chosen
    Carl Sagan was an American astronomer, cosmologist, and science communicator best known for popularizing science through works like the book and television series "Cosmos."
  • B. Neil deGrasse Tyson
    Neil deGrasse Tyson is an American astrophysicist, author, and science communicator known for popularizing astronomy and hosting shows like "Cosmos: A Spacetime Odyssey."
  • C. Timothy Ferris
    Timothy Ferris is an American science writer and journalist known for his popular books on astronomy and cosmology and for helping bring complex scientific ideas to a broad audience.
  • D. Nicholas Sagan
    Nicholas Sagan is the son of science communicator Ann Druyan and famed astronomer Carl Sagan.
  • E. Dorion Sagan
    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.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec792dd081909b6b18a854139f8c completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad5f2608190b03860bfc600ac04 completed March 1, 2026, 9:45 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.