Triple

T17990899
Position Surface form Disambiguated ID Type / Status
Subject The Kingdom E430365 entity
Predicate inspired P9 FINISHED
Object Kingdom Hospital 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: Kingdom Hospital | Statement: [The Kingdom, inspired, Kingdom Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingdom Hospital
Context triple: [The Kingdom, inspired, Kingdom Hospital]
  • A. Kingdom Hospital chosen
    Kingdom Hospital is a supernatural horror television series created by Stephen King that centers on bizarre and unsettling events in a haunted, otherworldly hospital.
  • B. Practical Jokers
    Practical Jokers is an album by the band The Swingers, known for its blend of new wave and pop-rock sounds.
  • C. The Kentucky Fried Movie
    The Kentucky Fried Movie is a 1977 sketch-comedy film directed by John Landis, known for its raunchy, satirical parodies of television, film, and pop culture.
  • D. Hospital Rock
    Hospital Rock is a notable geological and historical feature within Lava Beds National Monument, known for its association with the Modoc War and its use as a shelter and defensive site.
  • E. Kill4Me
    "Kill4Me" is a song by American rock musician Marilyn Manson from his album "Heaven Upside Down."
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.