Triple

T17075082
Position Surface form Disambiguated ID Type / Status
Subject Diocesan Boys’ School E414326 entity
Predicate hasAlumnus P51 FINISHED
Object Philip Chen
Philip Chen is a prominent Hong Kong business executive and airline industry leader, best known for his senior roles at Cathay Pacific Airways and Swire Group.
E1249333 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: Philip Chen | Statement: [Diocesan Boys’ School, hasAlumnus, Philip Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Chen
Context triple: [Diocesan Boys’ School, hasAlumnus, Philip Chen]
  • A. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • B. Terry Chen
    Terry Chen is a Canadian actor known for his roles in films like "Snakes on a Plane" and various television series.
  • C. Cliff Chiang
    Cliff Chiang is an American comic book artist best known for co-creating and illustrating the sci-fi comic series "Paper Girls" and his acclaimed work at DC Comics, including runs on "Wonder Woman."
  • D. Alfred Sung
    Alfred Sung is a Canadian fashion designer known for his elegant, minimalist aesthetic and for co-founding the Club Monaco clothing brand.
  • E. George Huang
    George Huang is a Taiwanese entrepreneur best known as a founder of the multinational computer and electronics company Acer Inc.
  • 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: Philip Chen
Triple: [Diocesan Boys’ School, hasAlumnus, Philip Chen]
Generated description
Philip Chen is a prominent Hong Kong business executive and airline industry leader, best known for his senior roles at Cathay Pacific Airways and Swire Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip Chen
Target entity description: Philip Chen is a prominent Hong Kong business executive and airline industry leader, best known for his senior roles at Cathay Pacific Airways and Swire Group.
  • A. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • B. Terry Chen
    Terry Chen is a Canadian actor known for his roles in films like "Snakes on a Plane" and various television series.
  • C. Cliff Chiang
    Cliff Chiang is an American comic book artist best known for co-creating and illustrating the sci-fi comic series "Paper Girls" and his acclaimed work at DC Comics, including runs on "Wonder Woman."
  • D. Alfred Sung
    Alfred Sung is a Canadian fashion designer known for his elegant, minimalist aesthetic and for co-founding the Club Monaco clothing brand.
  • E. George Huang
    George Huang is a Taiwanese entrepreneur best known as a founder of the multinational computer and electronics company Acer Inc.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc47808819088a4ca039689b213 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edfda588190aff6c6d4c8d64ddd completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01317efec48190ae812586579b1039 completed May 11, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0131e5acb4819098ad7c4532c4118a completed May 11, 2026, 1:33 a.m.
Created at: April 10, 2026, 5:34 a.m.