Triple

T37487281
Position Surface form Disambiguated ID Type / Status
Subject Soap E931564 entity
Predicate appearsIn P795 FINISHED
Object Call of Duty: Warzone 2.0
Call of Duty: Warzone 2.0 is a free-to-play battle royale and extraction-style first-person shooter set in the Call of Duty universe, featuring large-scale multiplayer combat across expansive, evolving maps.
E2233801 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: Call of Duty: Warzone 2.0 | Statement: [Soap, appearsIn, Call of Duty: Warzone 2.0]
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: Call of Duty: Warzone 2.0
Triple: [Soap, appearsIn, Call of Duty: Warzone 2.0]
Generated description
Call of Duty: Warzone 2.0 is a free-to-play battle royale and extraction-style first-person shooter set in the Call of Duty universe, featuring large-scale multiplayer combat across expansive, evolving maps.

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_69f76ec382248190b47844df596123c6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba35a5b688190ae8b64c1efbc62fb completed May 6, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7e37ac48190b560ad916d660551 completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a87e4c008190b9a9c54dd789dbc2 completed June 28, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_6a40a901f21c8190ad963f201863a3b0 completed June 28, 2026, 4:54 a.m.
Created at: May 3, 2026, 4:17 p.m.