Triple

T17025937
Position Surface form Disambiguated ID Type / Status
Subject Mr. Vampire E413062 entity
Predicate stars P1956 FINISHED
Object Billy Lau
Billy Lau is a Hong Kong actor best known for his comedic and bumbling police officer roles in 1980s horror-comedy films.
E1280835 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: Billy Lau | Statement: [Mr. Vampire, stars, Billy Lau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Lau
Context triple: [Mr. Vampire, stars, Billy Lau]
  • A. Ricky Lau
    Ricky Lau is a Hong Kong film director best known for his influential work in the horror-comedy genre, particularly the Mr. Vampire series.
  • B. David Lau
    David Lau is an Israeli rabbi who has served as the Ashkenazi Chief Rabbi of Israel and a prominent religious authority in the country.
  • C. Billy Chow
    Billy Chow is a Hong Kong martial artist and actor best known for playing formidable villains in action films, including several collaborations with Jackie Chan and Jet Li.
  • D. Benny Lau
    Benny Lau is a technology entrepreneur best known as a founder of ATI Technologies, a pioneering company in the graphics processing industry.
  • E. Lawrence Leung
    Lawrence Leung is an Australian comedian, writer, and filmmaker known for his offbeat television series and stand-up shows that blend personal storytelling with nerdy pop-culture obsessions.
  • 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: Billy Lau
Triple: [Mr. Vampire, stars, Billy Lau]
Generated description
Billy Lau is a Hong Kong actor best known for his comedic and bumbling police officer roles in 1980s horror-comedy films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Billy Lau
Target entity description: Billy Lau is a Hong Kong actor best known for his comedic and bumbling police officer roles in 1980s horror-comedy films.
  • A. Ricky Lau
    Ricky Lau is a Hong Kong film director best known for his influential work in the horror-comedy genre, particularly the Mr. Vampire series.
  • B. David Lau
    David Lau is an Israeli rabbi who has served as the Ashkenazi Chief Rabbi of Israel and a prominent religious authority in the country.
  • C. Billy Chow
    Billy Chow is a Hong Kong martial artist and actor best known for playing formidable villains in action films, including several collaborations with Jackie Chan and Jet Li.
  • D. Benny Lau
    Benny Lau is a technology entrepreneur best known as a founder of ATI Technologies, a pioneering company in the graphics processing industry.
  • E. Lawrence Leung
    Lawrence Leung is an Australian comedian, writer, and filmmaker known for his offbeat television series and stand-up shows that blend personal storytelling with nerdy pop-culture obsessions.
  • 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_6a021633fc848190b33798dc10ca0d55 completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a0218494d0c819096fa32b39524f960 completed May 11, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0218abde2c81908b6fec30ef40876f completed May 11, 2026, 5:58 p.m.
Created at: April 10, 2026, 5:33 a.m.