Triple

T7806469
Position Surface form Disambiguated ID Type / Status
Subject Contact (novel) E180565 entity
Predicate hasCharacter P2308 FINISHED
Object Palmer Joss E34109 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: Palmer Joss | Statement: [Contact (novel), hasCharacter, Palmer Joss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmer Joss
Context triple: [Contact (novel), hasCharacter, Palmer Joss]
  • A. Palmer Joss chosen
    Palmer Joss is a central character in Carl Sagan's science fiction novel "Contact," serving as a religious scholar and love interest who embodies the tension between faith and science.
  • B. Lewis Branscomb
    Lewis Branscomb was an American physicist and influential science and technology policy leader known for his work at the intersection of research, innovation, and public policy.
  • C. Enos Loveland
    Enos Loveland was an early settler and prominent local figure after whom the community of Loveland, Iowa, was named.
  • D. Gilmor Brown
    Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
  • E. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf639fba88190a7c117aab19c0b0f completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1450a2408190afe0459086d4480f completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:35 p.m.