Triple

T12229685
Position Surface form Disambiguated ID Type / Status
Subject Man Mo Temple E291441 entity
Predicate dedicatedTo P500 FINISHED
Object Man Cheong
Man Cheong is a Chinese civil god traditionally revered as the patron deity of literature, scholars, and civil examinations.
E973056 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: Man Cheong | Statement: [Man Mo Temple, dedicatedTo, Man Cheong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Man Cheong
Context triple: [Man Mo Temple, dedicatedTo, Man Cheong]
  • A. Kok Keong
    Kok Keong is a given name most notably associated with Foo Kok Keong, a former Malaysian badminton player renowned for his fighting spirit and defensive play.
  • B. Chow Kon Yeow
    Chow Kon Yeow is a Malaysian politician who has served as the Chief Minister of Penang.
  • 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. Chow Ching Lie
    Chow Ching Lie is a Chinese-born French pianist and author known for her autobiographical works depicting her life between Chinese tradition and Western culture.
  • 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: Man Cheong
Triple: [Man Mo Temple, dedicatedTo, Man Cheong]
Generated description
Man Cheong is a Chinese civil god traditionally revered as the patron deity of literature, scholars, and civil examinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Man Cheong
Target entity description: Man Cheong is a Chinese civil god traditionally revered as the patron deity of literature, scholars, and civil examinations.
  • A. Kok Keong
    Kok Keong is a given name most notably associated with Foo Kok Keong, a former Malaysian badminton player renowned for his fighting spirit and defensive play.
  • B. Chow Kon Yeow
    Chow Kon Yeow is a Malaysian politician who has served as the Chief Minister of Penang.
  • 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. Chow Ching Lie
    Chow Ching Lie is a Chinese-born French pianist and author known for her autobiographical works depicting her life between Chinese tradition and Western culture.
  • E. Ken Seng
    Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca34fe88190900c8791c70948b7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5bc1fc8190af9d74acc307ebe1 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:51 p.m.