Triple

T17025881
Position Surface form Disambiguated ID Type / Status
Subject Encounters of the Spooky Kind E413061 entity
Predicate starring P1507 FINISHED
Object To Siu-ming
To Siu-ming is a Hong Kong actor best known for his role in the influential 1980 horror-comedy film "Encounters of the Spooky Kind."
E1246447 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: To Siu-ming | Statement: [Encounters of the Spooky Kind, starring, To Siu-ming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To Siu-ming
Context triple: [Encounters of the Spooky Kind, starring, To Siu-ming]
  • A. Siu Hong
    Siu Hong is a residential and transport area in Hong Kong’s New Territories, known for its public housing estates and an MTR station on the Tuen Ma line.
  • B. Wong Ming Yang
    Wong Ming Yang was the first wife of Singapore’s Prime Minister Lee Hsien Loong, a Malaysian-born doctor who died tragically young shortly after their marriage.
  • C. Siu
    Siu is an alternative transliteration of the Chinese surname commonly rendered as Shu.
  • D. Lau Siu-Ming
    Lau Siu-Ming is a Hong Kong actor known for his character roles in film and television, including appearances in both local and international productions.
  • E. Hung Shing Yeh
    Hung Shing Yeh is a coastal village and beach area on Hong Kong’s Lamma Island, known for its popular swimming beach and relaxed seaside atmosphere.
  • 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: To Siu-ming
Triple: [Encounters of the Spooky Kind, starring, To Siu-ming]
Generated description
To Siu-ming is a Hong Kong actor best known for his role in the influential 1980 horror-comedy film "Encounters of the Spooky Kind."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: To Siu-ming
Target entity description: To Siu-ming is a Hong Kong actor best known for his role in the influential 1980 horror-comedy film "Encounters of the Spooky Kind."
  • A. Siu Hong
    Siu Hong is a residential and transport area in Hong Kong’s New Territories, known for its public housing estates and an MTR station on the Tuen Ma line.
  • B. Wong Ming Yang
    Wong Ming Yang was the first wife of Singapore’s Prime Minister Lee Hsien Loong, a Malaysian-born doctor who died tragically young shortly after their marriage.
  • C. Siu
    Siu is an alternative transliteration of the Chinese surname commonly rendered as Shu.
  • D. Lau Siu-Ming
    Lau Siu-Ming is a Hong Kong actor known for his character roles in film and television, including appearances in both local and international productions.
  • E. Hung Shing Yeh
    Hung Shing Yeh is a coastal village and beach area on Hong Kong’s Lamma Island, known for its popular swimming beach and relaxed seaside atmosphere.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011cfb74b88190bbd5af862727790f completed May 11, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a011dad838c8190a1ea560680c9ca57 completed May 11, 2026, 12:07 a.m.
Created at: April 10, 2026, 5:33 a.m.