Triple

T8294337
Position Surface form Disambiguated ID Type / Status
Subject Frank Marshall E194176 entity
Predicate notableWork P4 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: [Frank Marshall, notableWork, Eight Below]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eight Below
Context triple: [Frank Marshall, notableWork, 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. Due South
    Due South is a Canadian comedy-drama television series that follows a principled Mountie who teams up with a Chicago detective to solve crimes.
  • D. 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.
  • E. 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.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6899b818819090c80a8eba7d5d4c completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.