Triple

T20262932
Position Surface form Disambiguated ID Type / Status
Subject Pokémon Yellow E498888 entity
Predicate protagonistDefaultName P118534 FINISHED
Object Red
Red is the iconic silent Pokémon Trainer from the original Pokémon games, often depicted as the player character and a powerful champion in the series.
E681770 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: Red | Statement: [Pokémon Yellow, protagonistDefaultName, Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red
Context triple: [Pokémon Yellow, protagonistDefaultName, Red]
  • A. Red
    Red is the famous nickname of Arnold "Red" Auerbach, the legendary Boston Celtics coach and executive known for his pivotal role in building an NBA dynasty.
  • B. Red
    Red is the nickname of William L. "Red" Whittaker, a pioneering American roboticist known for his work in field robotics and autonomous vehicles.
  • C. Red
    Red is one of the main playable heroes in the run-and-gun video game Gunstar Heroes, known for fast-paced combat and cooperative action.
  • D. Red
    Red is a small, unicycle character from Pixar’s early animated short film "Red’s Dream."
  • E. Red
    "Red" is a 2010 action-comedy film about retired black-ops agents forced back into the field, known for its ensemble cast led by Bruce Willis, Helen Mirren, Morgan Freeman, and John Malkovich.
  • 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: Red
Triple: [Pokémon Yellow, protagonistDefaultName, Red]
Generated description
Red is the iconic silent Pokémon Trainer from the original Pokémon games, often depicted as the player character and a powerful champion in the series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red
Target entity description: Red is the iconic silent Pokémon Trainer from the original Pokémon games, often depicted as the player character and a powerful champion in the series.
  • A. Red chosen
    Red is a major character from the Pokémon franchise, known as the silent, highly skilled Pokémon Trainer who serves as the protagonist of the original games and a legendary opponent in later titles.
  • B. Red
    Red is the short-tempered, red-feathered bird who serves as the central protagonist of the Angry Birds franchise and its film adaptations.
  • C. Red
    Red is a key supporting character in the fast-paced first-person action game Neon White, known for her mysterious demeanor and complex relationship with the protagonist.
  • D. Red
    Red is one of the main playable heroes in the run-and-gun video game Gunstar Heroes, known for fast-paced combat and cooperative action.
  • E. Red
    Red is a small, unicycle character from Pixar’s early animated short film "Red’s Dream."
  • F. None of above.

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855311d4c8190bab2119e20359ae9 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855c6bab08190831cc78647de84fc completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856e66c808190b5ef994f1cbc5f3e completed May 16, 2026, 11:37 a.m.
Created at: April 11, 2026, 11:41 p.m.