Triple

T10008374
Position Surface form Disambiguated ID Type / Status
Subject Laugh Track E198307 entity
Predicate hasSingle P3282 FINISHED
Object Space Invader E818838 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: Space Invader | Statement: [Laugh Track, hasSingle, Space Invader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Space Invader
Context triple: [Laugh Track, hasSingle, Space Invader]
  • A. Space Invaders chosen
    Space Invaders is a classic 1978 arcade shoot-'em-up video game in which players defend Earth from descending waves of alien invaders.
  • B. Pong
    Pong is one of the earliest and most influential arcade video games, a simple two-dimensional table tennis simulation that helped launch the commercial video game industry.
  • C. Pong
    Pong is a comic ministerial character in Giacomo Puccini’s opera "Turandot," serving alongside Ping and Pang to provide both humor and commentary on the unfolding drama.
  • D. Q*bert
    Q*bert is a classic 1980s arcade video game character known for hopping diagonally on isometric cubes while avoiding enemies and obstacles.
  • E. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd38659c8190830d223edbfd74ec completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.