Triple

T8384705
Position Surface form Disambiguated ID Type / Status
Subject Project Hail Mary E197784 entity
Predicate author P4 FINISHED
Object Andy Weir E197784 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: Andy Weir | Statement: [Project Hail Mary, author, Andy Weir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Weir
Context triple: [Project Hail Mary, author, Andy Weir]
  • A. Andy Weir chosen
    Andy Weir is an American science fiction author best known for his hard-science survival novel "The Martian," which was adapted into a successful feature film.
  • B. Greg Egan
    Greg Egan is an Australian science fiction author renowned for his hard science, mathematically rigorous stories exploring consciousness, identity, and the nature of reality.
  • C. John Scalzi
    John Scalzi is an American science fiction author and blogger best known for his novel "Old Man's War" and his influential online writing on the blog Whatever.
  • D. Ernest Cline
    Ernest Cline is an American novelist and screenwriter best known for his pop culture–laden science fiction works, including the bestseller "Ready Player One."
  • E. Kim Stanley Robinson
    Kim Stanley Robinson is an acclaimed American science fiction author best known for his politically and environmentally focused works such as the Mars trilogy and numerous near-future climate novels.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80e03eb08190a458c9caa0524e0f completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3967fd108190b045ea1328b1dc4b completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:02 p.m.