Triple

T21843292
Position Surface form Disambiguated ID Type / Status
Subject Jong Lin E539307 entity
Predicate name P16 FINISHED
Object Jong Lin NE NERFINISHED

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: Jong Lin | Statement: [Jong Lin, name, Jong Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jong Lin
Context triple: [Jong Lin, name, Jong Lin]
  • A. Jong Lin chosen
    Jong Lin is a Taiwanese cinematographer known for his collaborations with director Ang Lee and his visually rich work on acclaimed international films.
  • B. Soo Yong
    Soo Yong was a Chinese-American actress known for her roles in early Hollywood films, including the 1937 adaptation of "The Good Earth."
  • C. Tan Kin Lian
    Tan Kin Lian is a Singaporean businessman and former chief executive of NTUC Income who is also known for his involvement in public advocacy and politics, including a run for the Singapore presidency.
  • D. Chee-hwa
    Chee-hwa is the given name of Tung Chee-hwa, the first Chief Executive of the Hong Kong Special Administrative Region after its 1997 handover to China.
  • E. Hung Kam Bo
    Hung Kam Bo is a personal name, likely referring to an individual of Chinese origin, though no widely known public figure by this exact name is clearly identifiable from the given information.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.