Triple

T15674845
Position Surface form Disambiguated ID Type / Status
Subject Chris Makepeace E377412 entity
Predicate participatedIn P149 FINISHED
Object Mazes and Monsters E1171324 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: Mazes and Monsters | Statement: [Chris Makepeace, participatedIn, Mazes and Monsters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazes and Monsters
Context triple: [Chris Makepeace, participatedIn, Mazes and Monsters]
  • A. Mazes and Monsters chosen
    Mazes and Monsters is a 1982 made-for-television fantasy drama film loosely inspired by the moral panic surrounding tabletop role-playing games like Dungeons & Dragons.
  • B. Maze
    Maze is a Slovenian surname most notably borne by Tina Maze, one of Slovenia’s greatest alpine ski racers.
  • C. Errand into the Maze
    Errand into the Maze is a 1947 modern dance work by Martha Graham that reimagines the myth of Theseus and the Minotaur as an exploration of inner fear and psychological struggle.
  • D. The Combined Maze
    The Combined Maze is a novel by British actor and playwright Frank Vosper, reflecting his flair for suspenseful, character-driven storytelling.
  • E. The Maze
    The Maze is a 1953 atmospheric horror film, directed by William Cameron Menzies, about a man who inherits a mysterious Scottish castle dominated by a sinister hedge maze.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756b9af48190a634f23ace966ae9 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:16 a.m.