Triple

T13802509
Position Surface form Disambiguated ID Type / Status
Subject Dots E331673 entity
Predicate developer P73 FINISHED
Object Playdots E331673 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: Playdots | Statement: [Dots, developer, Playdots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Playdots
Context triple: [Dots, developer, Playdots]
  • A. Playdots chosen
    Playdots is a mobile game development studio best known for creating the minimalist puzzle games Dots, Two Dots, and Dots & Co.
  • B. Fruity Pebbles
    Fruity Pebbles is a brightly colored, rice-based breakfast cereal known for its fruity flavors and association with The Flintstones cartoon characters.
  • C. Baby-O
    Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
  • D. Smarties
    Smarties are colorful sugar-coated chocolate confectionery pieces popular as a candy treat, particularly in Europe and Canada.
  • E. Cocoa Pebbles
    Cocoa Pebbles is a chocolate-flavored crispy rice breakfast cereal based on The Flintstones cartoon characters and popular for its rich cocoa taste and crunchy texture.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.