Triple

T5157984
Position Surface form Disambiguated ID Type / Status
Subject Jason Clark E116360 entity
Predicate notableCollaboration P8554 FINISHED
Object Cosmos franchise E61503 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: Cosmos franchise | Statement: [Jason Clark, notableCollaboration, Cosmos franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmos franchise
Context triple: [Jason Clark, notableCollaboration, Cosmos franchise]
  • A. Cosmos franchise chosen
    The Cosmos franchise is a popular science documentary series brand, best known for its visually rich, narrative-driven explorations of the universe and the history of scientific discovery.
  • B. Cosmos
    Cosmos is the vast, orderly universe encompassing all space, time, matter, and energy.
  • C. Cosmos
    Cosmos is a popular science book by astronomer Carl Sagan that explores the origins, structure, and wonders of the universe in an accessible and philosophical way.
  • D. Cosmos
    Cosmos is a decentralized blockchain ecosystem and interoperability protocol designed to enable independent networks to communicate and scale together.
  • E. Cosmos
    Cosmos are twin fairy priestesses in the Godzilla franchise who serve as mystical guardians and spokespersons for the kaiju Mothra.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7902fbe48190abb58cb0b2b2b62d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0168a648190a470507802aa8934 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.