Triple

T32216747
Position Surface form Disambiguated ID Type / Status
Subject God of Gamblers II E822946 entity
Predicate alsoKnownAs P39 FINISHED
Object Dou Hap II: Seung Hoi Taan Dou
Dou Hap II: Seung Hoi Taan Dou is a 1990 Hong Kong action-comedy film in the God of Gamblers series, starring Andy Lau as a charismatic gambler caught in high-stakes underworld conflicts.
E1997152 NE FINISHED

How this triple was built (2 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: Dou Hap II: Seung Hoi Taan Dou | Statement: [God of Gamblers II, alsoKnownAs, Dou Hap II: Seung Hoi Taan Dou]
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: Dou Hap II: Seung Hoi Taan Dou
Triple: [God of Gamblers II, alsoKnownAs, Dou Hap II: Seung Hoi Taan Dou]
Generated description
Dou Hap II: Seung Hoi Taan Dou is a 1990 Hong Kong action-comedy film in the God of Gamblers series, starring Andy Lau as a charismatic gambler caught in high-stakes underworld conflicts.

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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bbbef7a88190b0affdec1d41c1e0 completed May 3, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b9e07148190b1c0485c4d8dca9c completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3c207d988190835c5bda034bbc6c completed June 14, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ef33fc08190bdedc81c93429535 completed June 14, 2026, 11:53 p.m.
Created at: May 1, 2026, 12:37 a.m.