Triple

T20193326
Position Surface form Disambiguated ID Type / Status
Subject Ash Ketchum E493023 entity
Predicate ownsPokémon P139110 FINISHED
Object Lucario
Lucario is a Fighting/Steel-type Pokémon known for its aura-sensing abilities and prominent roles in the Pokémon games, anime, and movies.
E1416286 NE FINISHED

How this triple was built (4 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: Lucario | Statement: [Ash Ketchum, ownsPokémon, Lucario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucario
Context triple: [Ash Ketchum, ownsPokémon, Lucario]
  • A. Ness
    Ness is a surname most famously associated with Eliot Ness, the American Prohibition agent who led the "Untouchables" in combating organized crime in Chicago.
  • B. Ness
    Ness is a remote crofting and fishing community at the northern tip of the Isle of Lewis in Scotland’s Outer Hebrides.
  • C. Ness
    Ness is a small village in the civil parish of Neston on the Wirral Peninsula in Cheshire, England.
  • D. Cat Luigi
    Cat Luigi is a special power-up form of Luigi in the Super Mario series that gives him feline abilities like climbing walls, scratching enemies, and pouncing.
  • E. Kamek
    Kamek is a recurring Magikoopa villain in the Mario franchise, typically depicted as Bowser’s magical advisor and caretaker who uses powerful spells to hinder Mario and his allies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lucario
Triple: [Ash Ketchum, ownsPokémon, Lucario]
Generated description
Lucario is a Fighting/Steel-type Pokémon known for its aura-sensing abilities and prominent roles in the Pokémon games, anime, and movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucario
Target entity description: Lucario is a Fighting/Steel-type Pokémon known for its aura-sensing abilities and prominent roles in the Pokémon games, anime, and movies.
  • A. Ness
    Ness is a surname most famously associated with Eliot Ness, the American Prohibition agent who led the "Untouchables" in combating organized crime in Chicago.
  • B. Ness
    Ness is a remote crofting and fishing community at the northern tip of the Isle of Lewis in Scotland’s Outer Hebrides.
  • C. Ness
    Ness is a small village in the civil parish of Neston on the Wirral Peninsula in Cheshire, England.
  • D. Cat Luigi
    Cat Luigi is a special power-up form of Luigi in the Super Mario series that gives him feline abilities like climbing walls, scratching enemies, and pouncing.
  • E. Kamek
    Kamek is a recurring Magikoopa villain in the Mario franchise, typically depicted as Bowser’s magical advisor and caretaker who uses powerful spells to hinder Mario and his allies.
  • F. None of above. chosen

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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad7270081908ed8513a8363e9b1 completed April 20, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c885e788190888c76b925f290e0 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d20eb908190b82d668beed3789b completed May 16, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a083e49d5988190b41e8ce5bcebeca5 completed May 16, 2026, 9:52 a.m.
Created at: April 11, 2026, 11:37 p.m.