Triple

T9133003
Position Surface form Disambiguated ID Type / Status
Subject Goran D. Kleut E219135 entity
Predicate notableWork P4 FINISHED
Object Terra Nova
Terra Nova is a science fiction television series that follows a family sent back to prehistoric Earth as part of a colony attempting to save humanity’s future.
 E242294 NE FINISHED

How this triple was built (4 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: Terra Nova | Statement: [Goran D. Kleut, notableWork, Terra Nova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terra Nova
Context triple: [Goran D. Kleut, notableWork, Terra Nova]
  • A. Terra Nova
    Terra Nova is a major offshore oil field and production facility located on the Grand Banks off the coast of Newfoundland and Labrador, Canada.
  • B. Terra Nova
    Terra Nova was a British whaling and exploration ship best known for carrying Robert Falcon Scott’s ill-fated Terra Nova Expedition to Antarctica in the early 20th century.
  • C. Terra Nova
    Terra Nova is a neighborhood or district within the Corsican city of Bastia, France.
  • D. Terra Nova
    Terra Nova is a science fiction television series set in a dystopian future where humans travel back to prehistoric Earth to save civilization.
  • E. Ice Land
    Ice Land is a frigid, snow- and ice-themed world in Super Mario Bros. 3 known for its slippery terrain and cold-weather enemies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terra Nova
Triple: [Goran D. Kleut, notableWork, Terra Nova]
Generated description
Terra Nova is a science fiction television series that follows a family sent back to prehistoric Earth as part of a colony attempting to save humanity’s future.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terra Nova
Target entity description: Terra Nova is a science fiction television series that follows a family sent back to prehistoric Earth as part of a colony attempting to save humanity’s future.
  • A. Terra Nova
    Terra Nova is a major offshore oil field and production facility located on the Grand Banks off the coast of Newfoundland and Labrador, Canada.
  • B. Terra Nova chosen
    Terra Nova is a science fiction television series set in a dystopian future where humans travel back to prehistoric Earth to save civilization.
  • C. Terra Nova
    Terra Nova was a British whaling and exploration ship best known for carrying Robert Falcon Scott’s ill-fated Terra Nova Expedition to Antarctica in the early 20th century.
  • D. Terra Nova
    Terra Nova is a neighborhood or district within the Corsican city of Bastia, France.
  • E. Ice Land
    Ice Land is a frigid, snow- and ice-themed world in Super Mario Bros. 3 known for its slippery terrain and cold-weather enemies.
  • F. None of above.

Provenance (5 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8db7d808190bd22b0e5a6f9c285 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047e5ad5481909b7e62bee4d57492 completed April 3, 2026, 11:06 p.m.
NEDg Description generation batch_69d048dbcfe08190afb6ee816e22ddfc completed April 3, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69d049b159d08190ad426bb7f9bcafb1 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:18 p.m.