Triple

T5143119
Position Surface form Disambiguated ID Type / Status
Subject Moon Bloodgood E116005 entity
Predicate film P9968 FINISHED
Object Eight Below E498076 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: Eight Below | Statement: [Moon Bloodgood, film, Eight Below]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eight Below
Context triple: [Moon Bloodgood, film, Eight Below]
  • A. Eight Below chosen
    Eight Below is a 2006 adventure drama film about a group of sled dogs stranded in Antarctica and the efforts to rescue them.
  • B. 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.
  • C. Polar Frontier
    Polar Frontier is an Arctic-themed exhibit at the Columbus Zoo and Aquarium that showcases polar bears and other cold-climate wildlife in naturalistic habitats.
  • D. Farthest North
    Farthest North is Fridtjof Nansen’s classic account of his pioneering 1893–1896 Arctic expedition toward the North Pole, blending exploration narrative with scientific observation.
  • E. Frozen River
    Frozen River is a 2008 independent crime drama film about two women smuggling immigrants across the U.S.–Canada border, noted for its gritty realism and Melissa Leo’s acclaimed lead performance.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7883004881909c763da818d9b6e2 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed91e4ab88190827a77b0a356b7c3 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:43 p.m.