Triple

T19234461
Position Surface form Disambiguated ID Type / Status
Subject Golden State E480957 entity
Predicate hasPart P35 FINISHED
Object Land of the Living — NE NERFINISHED

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 Living | Statement: [Golden State, hasPart, Land of the Living]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Land of the Living
Context triple: [Golden State, hasPart, Land of the Living]
  • A. 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.
  • B. 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.
  • C. Land of the Living chosen
    "Land of the Living" is a song by Don Henley from his 1984 solo album "Building the Perfect Beast."
  • D. 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.
  • E. Land of the Dead
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faeb53988190b83afee9974058c6 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.