Triple

T11249755
Position Surface form Disambiguated ID Type / Status
Subject Rare E266293 entity
Predicate notableWork P4 FINISHED
Object Viva Piñata E914182 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: Viva Piñata | Statement: [Rare, notableWork, Viva Piñata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva Piñata
Context triple: [Rare, notableWork, Viva Piñata]
  • A. Viva Piñata series chosen
    The Viva Piñata series is a colorful life-simulation and gardening video game franchise featuring living piñata creatures, developed by Rare for platforms including the Xbox 360.
  • B. Nintendogs
    Nintendogs is a popular Nintendo DS virtual pet simulation game where players care for and interact with realistic 3D puppies using touch and voice controls.
  • C. Aquaria
    Aquaria is the first full-length studio album by American singer-songwriter Boots, known for its experimental blend of electronic, rock, and R&B elements.
  • D. Popples
    Popples is a children's media franchise featuring colorful, plush, marsupial-like creatures that can transform by folding into ball shapes.
  • E. Appaloosa Interactive
    Appaloosa Interactive was a video game development studio best known for creating the Ecco the Dolphin series and other titles across multiple platforms in the 1990s and early 2000s.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e93212448190b46b3799b0bdfa0f completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.