Triple

T10120255
Position Surface form Disambiguated ID Type / Status
Subject Malaysia national badminton team E223267 entity
Predicate hasNotablePlayer P9730 FINISHED
Object Goh V Shem
Goh V Shem is a Malaysian badminton player best known as a top men's doubles specialist and former Olympic silver medalist.
E229550 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: Goh V Shem | Statement: [Malaysia national badminton team, hasNotablePlayer, Goh V Shem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goh V Shem
Context triple: [Malaysia national badminton team, hasNotablePlayer, Goh V Shem]
  • A. Giong Lim
    Giong Lim is a musician and composer known for creating music featured in the film "Platform."
  • B. Chua Ong
    Chua Ong is a historic Vietnamese pagoda known for its traditional architecture and religious significance.
  • C. Chan Sek Keong
    Chan Sek Keong is a prominent Singaporean jurist who served as the country’s third Chief Justice and played a key role in shaping its modern legal system.
  • D. Yap Kim Hock
    Yap Kim Hock is a former Malaysian badminton player best known as a world-class men's doubles specialist and Olympic silver medalist.
  • E. Ken Seng
    Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
  • 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: Goh V Shem
Triple: [Malaysia national badminton team, hasNotablePlayer, Goh V Shem]
Generated description
Goh V Shem is a Malaysian badminton player best known as a top men's doubles specialist and former Olympic silver medalist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goh V Shem
Target entity description: Goh V Shem is a Malaysian badminton player best known as a top men's doubles specialist and former Olympic silver medalist.
  • A. Giong Lim
    Giong Lim is a musician and composer known for creating music featured in the film "Platform."
  • B. Chua Ong
    Chua Ong is a historic Vietnamese pagoda known for its traditional architecture and religious significance.
  • C. Chan Sek Keong
    Chan Sek Keong is a prominent Singaporean jurist who served as the country’s third Chief Justice and played a key role in shaping its modern legal system.
  • D. Yap Kim Hock chosen
    Yap Kim Hock is a former Malaysian badminton player best known as a world-class men's doubles specialist and Olympic silver medalist.
  • E. Ken Seng
    Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
  • F. None of above.

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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2659cdc8190b3ba91426bda55ec completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc3eb9cc81909546657ff86c87d8 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.