Triple

T8708124
Position Surface form Disambiguated ID Type / Status
Subject Risk E206702 entity
Predicate mainCharacter P1183 FINISHED
Object Lanning
Lanning is the central protagonist in the game Risk, around whom the primary narrative and strategic conflicts revolve.
 E753577 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: Lanning | Statement: [Risk, mainCharacter, Lanning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lanning
Context triple: [Risk, mainCharacter, Lanning]
  • A. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • B. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • C. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • D. Lynn
    Lynn is a given name used for people of any gender in English-speaking countries.
  • E. Lynn
    Lynn was the original name of what is now known as King’s Lynn railway station in Norfolk, England.
  • 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: Lanning
Triple: [Risk, mainCharacter, Lanning]
Generated description
Lanning is the central protagonist in the game Risk, around whom the primary narrative and strategic conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lanning
Target entity description: Lanning is the central protagonist in the game Risk, around whom the primary narrative and strategic conflicts revolve.
  • A. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • B. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • C. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • D. Lynn
    Lynn is a given name used for people of any gender in English-speaking countries.
  • E. Lynn
    Lynn was the original name of what is now known as King’s Lynn railway station in Norfolk, England.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58ffa6a481908866b6239d1d9b92 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28b78e90819098ab1d4877ab88fe completed April 3, 2026, 2:40 a.m.
NEDg Description generation batch_69cf2bd14c3c8190b43840ee57cca22c completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cb3c4308190971fb3d25064f205 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.