Triple

T33536757
Position Surface form Disambiguated ID Type / Status
Subject Panel de Pon E858955 entity
Predicate hasRebrandedVersion P206507 FINISHED
Object Pokémon Puzzle League
Pokémon Puzzle League is a Nintendo 64 puzzle video game that adapts the Panel de Pon gameplay formula with characters and themes from the Pokémon animated series.
E2055585 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: Pokémon Puzzle League | Statement: [Panel de Pon, hasRebrandedVersion, Pokémon Puzzle League]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pokémon Puzzle League
Triple: [Panel de Pon, hasRebrandedVersion, Pokémon Puzzle League]
Generated description
Pokémon Puzzle League is a Nintendo 64 puzzle video game that adapts the Panel de Pon gameplay formula with characters and themes from the Pokémon animated series.

Provenance (5 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_69f34978caf4819083f90eba4944d8e8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a03809967388190bfdc58bda40bd3fc completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a35a682f20081908393f329976e0667 completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a74328cc81909b143d49463f4588 completed June 19, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7b4ea908190b56ce58460ee569b completed June 19, 2026, 8:33 p.m.
Created at: May 1, 2026, 1:39 a.m.