Triple

T13950075
Position Surface form Disambiguated ID Type / Status
Subject Miguel Rivera E335497 entity
Predicate travelsTo P21947 FINISHED
Object Land of the Dead E236704 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: Land of the Dead | Statement: [Miguel Rivera, travelsTo, Land of the Dead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Land of the Dead
Context triple: [Miguel Rivera, travelsTo, Land of the Dead]
  • A. Land of the Dead chosen
    Land of the Dead is a vibrant, fantastical afterlife realm in Pixar's "Coco," where deceased ancestors live in a colorful city sustained by the memories of the living.
  • B. Land of the Dead
    Land of the Dead is a 2005 horror film directed by George A. Romero that continues his iconic zombie saga in a post-apocalyptic, class-divided city.
  • C. Land of the Dead
    Land of the Dead is the stylized, film noir–inspired afterlife world through which souls journey in the adventure game Grim Fandango.
  • D. Land of the Living
    Land of the Living is a work associated with Dante that explores themes of life, morality, and the human condition in a spiritually charged setting.
  • E. Land of the Living
    Land of the Living is the vibrant, mortal world in Tim Burton’s film "Corpse Bride," contrasted with the whimsical and colorful Land of the Dead.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cca84881909c7733bbc2609eea completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.