Triple

T20573389
Position Surface form Disambiguated ID Type / Status
Subject Scribblenauts E505154 entity
Predicate primaryGameplayMechanic P39812 FINISHED
Object word-based object summoning LITERAL 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: word-based object summoning | Statement: [Scribblenauts, primaryGameplayMechanic, word-based object summoning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryGameplayMechanic
Context triple: [Scribblenauts, primaryGameplayMechanic, word-based object summoning]
  • A. gameplayMechanic chosen
    Indicates a relationship where one entity functions as a rule, system, or interactive feature that defines how another entity can be played or operated within a game.
  • B. primaryGameMode
    Indicates the main or default game mode associated with a particular game or gaming context.
  • C. primaryGame
    Indicates that one game is the main or most significant game associated with an entity (such as a person, team, or event) among possibly several games.
  • D. primaryGameType
    Indicates the main category or type of game with which an entity is primarily associated.
  • E. notableLevelMechanic
    Indicates that an entity is recognized for its significant involvement in designing, implementing, or innovating game level mechanics.
  • F. None of above.

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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a906f0508190ac698233738f4452 completed April 20, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69e59ff0116c8190a163ff28ed01430a completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:39 a.m.