Triple

T18859186
Position Surface form Disambiguated ID Type / Status
Subject Sarah Douglas E461262 entity
Predicate characterIn P12208 FINISHED
Object The People That Time Forgot NE NERFINISHED

How this triple was built (3 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: The People That Time Forgot | Statement: [Sarah Douglas, characterIn, The People That Time Forgot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The People That Time Forgot
Context triple: [Sarah Douglas, characterIn, The People That Time Forgot]
  • A. The Land That Time Forgot
    The Land That Time Forgot is a 1918 science fiction adventure novel by Edgar Rice Burroughs about shipwrecked survivors who discover a prehistoric, dinosaur-filled lost world.
  • B. The Land Unknown
    The Land Unknown is a 1957 science fiction adventure film about a Navy expedition that discovers a prehistoric world hidden within Antarctica.
  • C. The Valley of Ghosts
    The Valley of Ghosts is a mystery novel by British writer Edgar Wallace, known for its suspenseful crime plot and atmospheric setting.
  • D. Land of the Lost
    Land of the Lost is a 2009 science-fiction comedy film that parodies the 1970s TV series of the same name, following a disgraced scientist who is transported to a bizarre alternate universe filled with dinosaurs and strange creatures.
  • E. Hunt for the Past
    Hunt for the Past is a documentary television series that explores archaeological discoveries and historical mysteries from ancient civilizations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The People That Time Forgot
Target entity description: The People That Time Forgot is a 1977 British-American fantasy adventure film and sequel to The Land That Time Forgot, featuring explorers who discover a prehistoric lost world.
  • A. The Land That Time Forgot
    The Land That Time Forgot is a 1918 science fiction adventure novel by Edgar Rice Burroughs about shipwrecked survivors who discover a prehistoric, dinosaur-filled lost world.
  • B. The Land Unknown
    The Land Unknown is a 1957 science fiction adventure film about a Navy expedition that discovers a prehistoric world hidden within Antarctica.
  • C. The Valley of Ghosts
    The Valley of Ghosts is a mystery novel by British writer Edgar Wallace, known for its suspenseful crime plot and atmospheric setting.
  • D. Land of the Lost
    Land of the Lost is a 2009 science-fiction comedy film that parodies the 1970s TV series of the same name, following a disgraced scientist who is transported to a bizarre alternate universe filled with dinosaurs and strange creatures.
  • E. Hunt for the Past
    Hunt for the Past is a documentary television series that explores archaeological discoveries and historical mysteries from ancient civilizations.
  • F. None of above. chosen

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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.