Triple

T11642011
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty: Modern Warfare 2 E276681 entity
Predicate notableMission P68 FINISHED
Object Wolverines!
"Wolverines!" is an early campaign mission in Call of Duty: Modern Warfare 2 in which players defend a suburban American neighborhood from a large-scale Russian invasion.
E937539 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: Wolverines! | Statement: [Call of Duty: Modern Warfare 2, notableMission, Wolverines!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolverines!
Context triple: [Call of Duty: Modern Warfare 2, notableMission, Wolverines!]
  • A. Wolverines
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • B. Wolverines
    Wolverines is the athletics nickname for the sports teams representing Morris Brown College.
  • C. Wolverines
    Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
  • D. Wolverines
    Wolverines is the mascot representing Simeon Career Academy’s athletic teams and school spirit.
  • E. Wolfen
    Wolfen is a town in Saxony-Anhalt, Germany, historically known for its chemical industry and photographic film production, which later became part of the city of Bitterfeld-Wolfen through a municipal merger.
  • 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: Wolverines!
Triple: [Call of Duty: Modern Warfare 2, notableMission, Wolverines!]
Generated description
"Wolverines!" is an early campaign mission in Call of Duty: Modern Warfare 2 in which players defend a suburban American neighborhood from a large-scale Russian invasion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wolverines!
Target entity description: "Wolverines!" is an early campaign mission in Call of Duty: Modern Warfare 2 in which players defend a suburban American neighborhood from a large-scale Russian invasion.
  • A. Wolverines
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • B. Wolverines
    Wolverines is the athletics nickname for the sports teams representing Morris Brown College.
  • C. Wolverines
    Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
  • D. Wolverines
    Wolverines is the mascot representing Simeon Career Academy’s athletic teams and school spirit.
  • E. Wolfen
    Wolfen is a town in Saxony-Anhalt, Germany, historically known for its chemical industry and photographic film production, which later became part of the city of Bitterfeld-Wolfen through a municipal merger.
  • 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_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
NEDg Description generation batch_69eeb31438f88190bab71212293f2d2e 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.