Triple

T38591077
Position Surface form Disambiguated ID Type / Status
Subject HeroEngine (heavily modified) E932453 entity
Predicate originEngineDeveloper P182599 FINISHED
Object Simutronics (for original HeroEngine)
Simutronics is a game development company best known for creating the original HeroEngine, a real-time collaborative online game development platform later heavily modified for other projects.
 E2276476 NE FINISHED

How this triple was built (3 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: Simutronics (for original HeroEngine) | Statement: [HeroEngine (heavily modified), originEngineDeveloper, Simutronics (for original HeroEngine)]
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: Simutronics (for original HeroEngine)
Triple: [HeroEngine (heavily modified), originEngineDeveloper, Simutronics (for original HeroEngine)]
Generated description
Simutronics is a game development company best known for creating the original HeroEngine, a real-time collaborative online game development platform later heavily modified for other projects.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originEngineDeveloper
Context triple: [HeroEngine (heavily modified), originEngineDeveloper, Simutronics (for original HeroEngine)]
  • A. gameEngineDeveloper chosen
    Indicates that an entity is a developer responsible for creating or maintaining a game engine used to build video games.
  • B. developedEngine
    Indicates that one entity created, designed, or engineered an engine for another entity or purpose.
  • C. originOfEngine
    Indicates the source or place from which an engine originates or is produced.
  • D. originalEngineType
    Indicates the type or category of engine that an entity was initially or first equipped with.
  • E. originatesFromEngine
    Indicates that something has its source, cause, or production in a particular engine.
  • F. None of above.

Provenance (6 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea9e9b248190b08f0134a75af0b1 completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41ebadab708190a6277724580df2b0 completed June 29, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a41ec1cf73081909142dcb16dff2794 completed June 29, 2026, 3:53 a.m.
PD Predicate disambiguation batch_6a037a2026248190b894436a578d79ac completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:32 p.m.