Triple

T18572344
Position Surface form Disambiguated ID Type / Status
Subject Raffles Institution E453901 entity
Predicate hasAlumnus P51 FINISHED
Object Adrian Pang
Adrian Pang is a prominent Singaporean actor and television host known for his work in theatre, film, and local TV dramas.
E1336508 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: Adrian Pang | Statement: [Raffles Institution, hasAlumnus, Adrian Pang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adrian Pang
Context triple: [Raffles Institution, hasAlumnus, Adrian Pang]
  • A. Adrian Wong
    Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
  • B. Adrian Lau
    Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
  • C. Adrian Tan
    Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
  • D. Danny Pang
    Danny Pang is a Hong Kong film editor and director best known as one half of the Pang Brothers, noted for stylish thrillers and horror films such as "The Eye."
  • E. Kenny Wong
    Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
  • 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: Adrian Pang
Triple: [Raffles Institution, hasAlumnus, Adrian Pang]
Generated description
Adrian Pang is a prominent Singaporean actor and television host known for his work in theatre, film, and local TV dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adrian Pang
Target entity description: Adrian Pang is a prominent Singaporean actor and television host known for his work in theatre, film, and local TV dramas.
  • A. Adrian Wong
    Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
  • B. Adrian Lau
    Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
  • C. Adrian Tan
    Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
  • D. Danny Pang
    Danny Pang is a Hong Kong film editor and director best known as one half of the Pang Brothers, noted for stylish thrillers and horror films such as "The Eye."
  • E. Kenny Wong
    Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b032488819098de683bb5c42c4b completed April 19, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05170d98a88190a048feff7f0bc7a4 completed May 14, 2026, 12:27 a.m.
NEDg Description generation batch_6a051ad23658819081f5169a0506fda6 completed May 14, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a051b9a071c8190a0e92848a3596acd completed May 14, 2026, 12:47 a.m.
Created at: April 10, 2026, 11:43 a.m.