Triple

T38530205
Position Surface form Disambiguated ID Type / Status
Subject Age of Empires: Definitive Edition E923343 entity
Predicate developer P73 FINISHED
Object Wicked Witch Software
Wicked Witch Software is an Australian video game development studio known for working on titles such as Age of Empires: Definitive Edition.
E2272640 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: Wicked Witch Software | Statement: [Age of Empires: Definitive Edition, developer, Wicked Witch Software]
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: Wicked Witch Software
Triple: [Age of Empires: Definitive Edition, developer, Wicked Witch Software]
Generated description
Wicked Witch Software is an Australian video game development studio known for working on titles such as Age of Empires: Definitive Edition.

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_69f76ea8f6348190a5c03fb6292bbee3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2b822448190bd8f2e912ce7034e completed May 7, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d670337081909450a3d14b334333 completed June 29, 2026, 2:20 a.m.
NEDg Description generation batch_6a41d7782cc0819082f2f2b55a8e0fb1 completed June 29, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a41d7eacd4881909dc961a6e9a4d082 completed June 29, 2026, 2:26 a.m.
Created at: May 3, 2026, 4:32 p.m.