Triple

T18572283
Position Surface form Disambiguated ID Type / Status
Subject Raffles Institution E453901 entity
Predicate hasAlumnus P51 FINISHED
Object Mah Bow Tan
Mah Bow Tan is a Singaporean politician who served as Minister for National Development and was a long-time member of the ruling People's Action Party.
E1331334 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: Mah Bow Tan | Statement: [Raffles Institution, hasAlumnus, Mah Bow Tan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mah Bow Tan
Context triple: [Raffles Institution, hasAlumnus, Mah Bow Tan]
  • A. Gotay
    Gotay is a reggaeton artist and music producer known for his work in the Latin urban music scene.
  • B. Boso
    Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
  • C. Chien
    Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
  • D. Baij
    Baij is the surname of Ramkinkar Baij, a pioneering Indian modernist sculptor and painter known for his monumental public works and experimental style.
  • E. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • 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: Mah Bow Tan
Triple: [Raffles Institution, hasAlumnus, Mah Bow Tan]
Generated description
Mah Bow Tan is a Singaporean politician who served as Minister for National Development and was a long-time member of the ruling People's Action Party.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mah Bow Tan
Target entity description: Mah Bow Tan is a Singaporean politician who served as Minister for National Development and was a long-time member of the ruling People's Action Party.
  • A. Gotay
    Gotay is a reggaeton artist and music producer known for his work in the Latin urban music scene.
  • B. Boso
    Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
  • C. Chien
    Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
  • D. Baij
    Baij is the surname of Ramkinkar Baij, a pioneering Indian modernist sculptor and painter known for his monumental public works and experimental style.
  • E. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • 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_6a04f886f2e88190bf01061cb793c0ab completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9511eb08190952be765862cd1ab completed May 13, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9dd338881908b300bab7947f736 completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 11:43 a.m.