Triple

T20688919
Position Surface form Disambiguated ID Type / Status
Subject Mortal Kombat 11 E508496 entity
Predicate hasCharacter P2308 FINISHED
Object Erron Black
Erron Black is a gunslinging outlaw and mercenary from the Mortal Kombat fighting game series, known for his Wild West aesthetic and deadly marksmanship.
E1445801 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: Erron Black | Statement: [Mortal Kombat 11, hasCharacter, Erron Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erron Black
Context triple: [Mortal Kombat 11, hasCharacter, Erron Black]
  • A. Raynathan Skuggs
    Raynathan Skuggs is the central protagonist of the crime drama film "Sugar Hill," around whom the story’s underworld conflicts and personal struggles revolve.
  • B. Breon Mitchell
    Breon Mitchell is a literary translator best known for his acclaimed new English translation of Günter Grass’s novel "The Tin Drum."
  • C. Zach Rogue
    Zach Rogue is an American musician best known as the lead singer, guitarist, and primary songwriter of the indie rock band Rogue Wave.
  • D. Aiden Burn
    Aiden Burn is a fictional crime scene investigator and key member of the forensic team on the television series CSI: NY.
  • E. Nick Boraine
    Nick Boraine is a South African actor known for his work in film, television, and theatre, often appearing in politically themed and socially conscious productions.
  • 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: Erron Black
Triple: [Mortal Kombat 11, hasCharacter, Erron Black]
Generated description
Erron Black is a gunslinging outlaw and mercenary from the Mortal Kombat fighting game series, known for his Wild West aesthetic and deadly marksmanship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erron Black
Target entity description: Erron Black is a gunslinging outlaw and mercenary from the Mortal Kombat fighting game series, known for his Wild West aesthetic and deadly marksmanship.
  • A. Raynathan Skuggs
    Raynathan Skuggs is the central protagonist of the crime drama film "Sugar Hill," around whom the story’s underworld conflicts and personal struggles revolve.
  • B. Breon Mitchell
    Breon Mitchell is a literary translator best known for his acclaimed new English translation of Günter Grass’s novel "The Tin Drum."
  • C. Zach Rogue
    Zach Rogue is an American musician best known as the lead singer, guitarist, and primary songwriter of the indie rock band Rogue Wave.
  • D. Aiden Burn
    Aiden Burn is a fictional crime scene investigator and key member of the forensic team on the television series CSI: NY.
  • E. Nick Boraine
    Nick Boraine is a South African actor known for his work in film, television, and theatre, often appearing in politically themed and socially conscious productions.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e226808190bf05b85afb173e36 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d9ca43288190a2be3d4f63141391 completed May 16, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a08da457ee48190ba18b3e34f117e19 completed May 16, 2026, 8:57 p.m.
Created at: April 16, 2026, 11:56 a.m.