Triple

T20741909
Position Surface form Disambiguated ID Type / Status
Subject Aeryn Sun E510461 entity
Predicate appearsIn P795 FINISHED
Object Farscape NE NERFINISHED

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: Farscape | Statement: [Aeryn Sun, appearsIn, Farscape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farscape
Context triple: [Aeryn Sun, appearsIn, Farscape]
  • A. Farscape chosen
    Farscape is a science fiction television series known for its imaginative alien characters, dark humor, and complex storytelling, in which Claudia Black plays a leading role.
  • B. Babylon 5
    Babylon 5 is a 1990s science fiction television series set on a space station that serves as a political and military hub amid rising interstellar tensions and wars.
  • C. Space: Above and Beyond
    Space: Above and Beyond is a mid-1990s American science fiction television series that follows a group of space fighter pilots in a future interstellar war.
  • D. Galactica
    Galactica is a flying roller coaster at Alton Towers Resort themed around virtual reality space travel.
  • E. Outlaw Star
    Outlaw Star is a late-1990s sci-fi anime series following Gene Starwind and his crew on spacefaring adventures, known in the West for its prominent broadcast on Cartoon Network’s Toonami block.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20f9670819082199de21a8d9818 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.