Triple

T1407332
Position Surface form Disambiguated ID Type / Status
Subject Star Trek E31723 entity
Predicate creator P184 FINISHED
Object Gene Roddenberry E116014 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: Gene Roddenberry | Statement: [Star Trek, creator, Gene Roddenberry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Roddenberry
Context triple: [Star Trek, creator, Gene Roddenberry]
  • A. Gene Roddenberry chosen
    Gene Roddenberry was an American television writer and producer best known as the creator of the science fiction franchise Star Trek.
  • B. George Lucas
    George Lucas is an American filmmaker and entrepreneur best known as the creator of the Star Wars and Indiana Jones franchises and the founder of Lucasfilm.
  • C. Robert Rodat
    Robert Rodat is an American screenwriter and producer best known for writing the film "Saving Private Ryan" and creating the science fiction television series "Falling Skies."
  • D. Sydney Newman
    Sydney Newman was a Canadian-born television producer and executive best known for pioneering influential British TV drama and helping launch iconic series such as Doctor Who and The Avengers.
  • E. Jack Arnold
    Jack Arnold is an American television and film director best known for his work on classic science fiction movies of the 1950s and popular TV series.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bf7f0c8190aee96818de6ff4a5 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5770ea08190ac91b47a4ed5bf35 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.