Triple

T9115158
Position Surface form Disambiguated ID Type / Status
Subject Space Seed E218702 entity
Predicate storyBy P1955 FINISHED
Object Carey Wilber E790975 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: Carey Wilber | Statement: [Space Seed, storyBy, Carey Wilber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carey Wilber
Context triple: [Space Seed, storyBy, Carey Wilber]
  • A. Carey Wilber chosen
    Carey Wilber was an American television writer best known for his work on classic series such as Star Trek, for which he created the character Khan Noonien Singh.
  • B. Dana A. Dorsey
    Dana A. Dorsey was a prominent African American businessman and Miami’s first Black millionaire, known for his significant contributions to real estate and community development in the early 20th century.
  • C. Karen E. Spilka
    Karen E. Spilka is an American politician and attorney who serves as President of the Massachusetts Senate and represents the MetroWest region in the state legislature.
  • D. Lorrie Baranek
    Lorrie Baranek is a television producer best known for her executive production work on the current affairs series "The Problem with Jon Stewart."
  • E. Karen McCullah Lutz
    Karen McCullah Lutz is an American screenwriter best known for co-writing popular romantic comedies such as "10 Things I Hate About You," "Legally Blonde," and "The House Bunny."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a1340881909dc791b825e87ef2 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e31b3c048190ab4f9cac9e5e3a8e completed April 4, 2026, 10:08 a.m.
Created at: March 30, 2026, 7:16 p.m.