Triple

T11659714
Position Surface form Disambiguated ID Type / Status
Subject Lena Raine E277090 entity
Predicate employer P7 FINISHED
Object ArenaNet
ArenaNet is an American video game developer best known for creating the Guild Wars franchise.
E937773 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: ArenaNet | Statement: [Lena Raine, employer, ArenaNet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ArenaNet
Context triple: [Lena Raine, employer, ArenaNet]
  • A. Blizzard Entertainment
    Blizzard Entertainment is a renowned American video game developer and publisher best known for creating major franchises such as Warcraft, StarCraft, and Diablo.
  • B. Blizzard North
    Blizzard North was a renowned video game development studio best known for creating the early entries in the Diablo action role-playing game series.
  • C. WB Games San Francisco
    WB Games San Francisco is a video game development studio under Warner Bros. Games known for creating mobile and online titles based on popular Warner Bros. entertainment franchises.
  • D. Grinding Gear Games
    Grinding Gear Games is a New Zealand-based video game developer best known for creating the action role-playing game Path of Exile.
  • E. Nexon
    Nexon is a notable fictional world within the Spacer Worlds setting, recognized as one of its key planetary locations.
  • 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: ArenaNet
Triple: [Lena Raine, employer, ArenaNet]
Generated description
ArenaNet is an American video game developer best known for creating the Guild Wars franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ArenaNet
Target entity description: ArenaNet is an American video game developer best known for creating the Guild Wars franchise.
  • A. Blizzard Entertainment
    Blizzard Entertainment is a renowned American video game developer and publisher best known for creating major franchises such as Warcraft, StarCraft, and Diablo.
  • B. Blizzard North
    Blizzard North was a renowned video game development studio best known for creating the early entries in the Diablo action role-playing game series.
  • C. WB Games San Francisco
    WB Games San Francisco is a video game development studio under Warner Bros. Games known for creating mobile and online titles based on popular Warner Bros. entertainment franchises.
  • D. Grinding Gear Games
    Grinding Gear Games is a New Zealand-based video game developer best known for creating the action role-playing game Path of Exile.
  • E. Nexon
    Nexon is a notable fictional world within the Spacer Worlds setting, recognized as one of its key planetary locations.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d19c788190826d849a6ffedc72 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882148a08190a1a8c16d8cb7e48a completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb315ebc48190a0f6ff0dc8afd462 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd954b348190bf2f3ad66acbf1b7 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.