Triple

T10467109
Position Surface form Disambiguated ID Type / Status
Subject Blackhat E246825 entity
Predicate starredActor P5563 FINISHED
Object Leehom Wang E548920 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: Leehom Wang | Statement: [Blackhat, starredActor, Leehom Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leehom Wang
Context triple: [Blackhat, starredActor, Leehom Wang]
  • A. Leehom Wang chosen
    Leehom Wang is a Taiwanese-American singer-songwriter and actor known for pioneering the fusion of Chinese musical elements with Western pop and for his prominent roles in Chinese-language cinema.
  • B. Vincent Yuan
    Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
  • C. John Lee Ka-chiu
    John Lee Ka-chiu is a Hong Kong politician and former security official who serves as the Chief Executive, the city's top leader.
  • D. Roger Yuan
    Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
  • E. Ringo Lam
    Ringo Lam was a renowned Hong Kong film director best known for his gritty, realistic crime thrillers such as "City on Fire," which heavily influenced the modern action and crime genre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.