Triple

T17883676
Position Surface form Disambiguated ID Type / Status
Subject The Kindly Ones E447150 entity
Predicate featuresCharacter P626 FINISHED
Object Lyta Hall 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: Lyta Hall | Statement: [The Kindly Ones, featuresCharacter, Lyta Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyta Hall
Context triple: [The Kindly Ones, featuresCharacter, Lyta Hall]
  • A. Lyta Hall chosen
    Lyta Hall is a character in Neil Gaiman's The Sandman, a former superhero whose grief and complex relationship with Dream drive key supernatural events in the series.
  • B. Hemlock Hall
    Hemlock Hall is a historic lakeside resort in Blue Mountain Lake, New York, known for its rustic Adirondack charm and long-standing vacation tradition.
  • C. Lydiate Hall
    Lydiate Hall is a ruined Tudor-era manor house in Lydiate, Merseyside, known for its historic architecture and picturesque setting.
  • D. Evelyn Hall
    Evelyn Hall was an early 20th-century actress known for her role in the silent-era adventure film "The Return of Dr. Fu Manchu."
  • E. Batasan Hall
    Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.