Triple

T1853537
Position Surface form Disambiguated ID Type / Status
Subject AlphaStar E41648 entity
Predicate defeatedPlayer P20144 FINISHED
Object MaNa
MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
 E206444 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: MaNa | Statement: [AlphaStar, defeatedPlayer, MaNa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MaNa
Context triple: [AlphaStar, defeatedPlayer, MaNa]
  • A. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • B. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • C. Mitanni
    Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
  • D. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • E. Mangina
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • 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: MaNa
Triple: [AlphaStar, defeatedPlayer, MaNa]
Generated description
MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MaNa
Target entity description: MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
  • A. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • B. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • C. Mitanni
    Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
  • D. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • E. Mangina
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c2354081909ee4da7669932796 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c9c6208190a2793994a7f927bd completed March 8, 2026, 7:11 p.m.
NEDg Description generation batch_69adcaf23e748190a031625208f4cf17 completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbf835b48190aaeb61f34f6aafdc completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:33 p.m.