Triple

T8552188
Position Surface form Disambiguated ID Type / Status
Subject Metal Slug E202469 entity
Predicate developer P73 FINISHED
Object Nazca Corporation
Nazca Corporation was a Japanese video game developer best known for creating the run-and-gun arcade series Metal Slug before being absorbed into SNK.
 E741492 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: Nazca Corporation | Statement: [Metal Slug, developer, Nazca Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nazca Corporation
Context triple: [Metal Slug, developer, Nazca Corporation]
  • A. Lima Company
    Lima Company is a rifle company within the U.S. Marine Corps’ 3rd Battalion, 1st Marines, known for its infantry combat role.
  • B. Pella Corporation
    Pella Corporation is a major American manufacturer of windows and doors known for its innovative, energy-efficient building products.
  • C. Delos Incorporated
    Delos Incorporated is the powerful corporate owner and operator of the Westworld theme park and its sister parks in the Westworld television series.
  • D. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • E. Pando Company
    Pando Company is a film production company known for producing the movie "The Happy Ending."
  • 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: Nazca Corporation
Triple: [Metal Slug, developer, Nazca Corporation]
Generated description
Nazca Corporation was a Japanese video game developer best known for creating the run-and-gun arcade series Metal Slug before being absorbed into SNK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nazca Corporation
Target entity description: Nazca Corporation was a Japanese video game developer best known for creating the run-and-gun arcade series Metal Slug before being absorbed into SNK.
  • A. Lima Company
    Lima Company is a rifle company within the U.S. Marine Corps’ 3rd Battalion, 1st Marines, known for its infantry combat role.
  • B. Pella Corporation
    Pella Corporation is a major American manufacturer of windows and doors known for its innovative, energy-efficient building products.
  • C. Delos Incorporated
    Delos Incorporated is the powerful corporate owner and operator of the Westworld theme park and its sister parks in the Westworld television series.
  • D. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • E. Pando Company
    Pando Company is a film production company known for producing the movie "The Happy Ending."
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8882704819094b688d46169433a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dc7f6fc8190addd5d2bbe1f4408 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6f3f40708190a351600ec9f12ee4 completed April 2, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69ce703b74f8819093bda2d3e59f7e94 completed April 2, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:19 p.m.