Triple

T22873965
Position Surface form Disambiguated ID Type / Status
Subject The Twisted Ones E567271 entity
Predicate mainCharacter P1183 FINISHED
Object Mouse 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: Mouse | Statement: [The Twisted Ones, mainCharacter, Mouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouse
Context triple: [The Twisted Ones, mainCharacter, Mouse]
  • A. Mouse
    "Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
  • B. Mouse chosen
    Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
  • C. Mouse
    Mouse is the nickname and professional moniker of Stanley Mouse, an American artist best known for his iconic psychedelic rock posters and album cover designs, particularly for the Grateful Dead.
  • D. Mouse Rat
    Mouse Rat is the fictional rock band fronted by Andy Dwyer on the television series "Parks and Recreation," known for its humorous songs and ever-changing name.
  • E. Mause
    Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f56d6448190ada4aef08eac2bed completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.