Triple

T22958819
Position Surface form Disambiguated ID Type / Status
Subject Titmouse, Inc. E570836 entity
Predicate notableWork P4 FINISHED
Object Motorcity 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: Motorcity | Statement: [Titmouse, Inc., notableWork, Motorcity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motorcity
Context triple: [Titmouse, Inc., notableWork, Motorcity]
  • A. Motorcity chosen
    Motorcity is an animated television series set in a futuristic Detroit where a group of rebels fights against an oppressive corporate regime.
  • B. Mob City
    Mob City is a noir-style American crime drama television series set in 1940s Los Angeles, depicting the violent clashes between the LAPD and organized crime.
  • C. Electric City
    Electric City is a nickname for Peterborough, Ontario, reflecting its early and prominent use of hydroelectric power and electric streetlights.
  • D. Electric City
    Electric City is a nickname for Scranton, Pennsylvania, reflecting its early adoption of electric streetcars and status as a pioneering electrified city in the United States.
  • E. Electric City
    Electric City is the nickname of Anderson, South Carolina, reflecting its early adoption of electricity and historic role in hydroelectric power development.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f2ce9c8190977f146771816341 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.