Triple

T9741571
Position Surface form Disambiguated ID Type / Status
Subject Pixels E236196 entity
Predicate featuresFictionalCharacter P50141 FINISHED
Object Q*bert
Q*bert is a classic 1980s arcade video game character known for hopping diagonally on isometric cubes while avoiding enemies and obstacles.
 E818839 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: Q*bert | Statement: [Pixels, featuresFictionalCharacter, Q*bert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Q*bert
Context triple: [Pixels, featuresFictionalCharacter, Q*bert]
  • A. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • B. Pac-Man
    Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
  • C. Pacman
    Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
  • D. Donkey Kong
    Donkey Kong is a powerful, gorilla-like video game character from Nintendo’s Donkey Kong and Mario franchises, known for his strength, barrel-throwing antics, and role as both rival and ally to Mario.
  • E. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • 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: Q*bert
Triple: [Pixels, featuresFictionalCharacter, Q*bert]
Generated description
Q*bert is a classic 1980s arcade video game character known for hopping diagonally on isometric cubes while avoiding enemies and obstacles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Q*bert
Target entity description: Q*bert is a classic 1980s arcade video game character known for hopping diagonally on isometric cubes while avoiding enemies and obstacles.
  • A. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • B. Pac-Man
    Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
  • C. Pacman
    Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
  • D. Donkey Kong
    Donkey Kong is a powerful, gorilla-like video game character from Nintendo’s Donkey Kong and Mario franchises, known for his strength, barrel-throwing antics, and role as both rival and ally to Mario.
  • E. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b08ba1f48190830852f9d60e3368 completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b124659481909e7a2ecaf01d8a50 completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:23 p.m.