Triple

T19588519
Position Surface form Disambiguated ID Type / Status
Subject Hoàng Xuân Lãm E470166 entity
Predicate givenName P17 FINISHED
Object Xuân Lãm 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: Xuân Lãm | Statement: [Hoàng Xuân Lãm, givenName, Xuân Lãm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xuân Lãm
Context triple: [Hoàng Xuân Lãm, givenName, Xuân Lãm]
  • A. Xuân Lãm chosen
    Xuân Lãm is the given name of Hoàng Xuân Lãm, a South Vietnamese lieutenant general who played a prominent role during the Vietnam War.
  • B. Yu Lik-wai
    Yu Lik-wai is a Hong Kong cinematographer and film director best known for his long-time collaboration with Chinese auteur Jia Zhangke on critically acclaimed art-house films.
  • C. Leong Mun Wai
    Leong Mun Wai is a Singaporean politician and former investment banker who serves as the Secretary-General of the Progress Singapore Party and a Non-Constituency Member of Parliament.
  • D. Chin Siu-ho
    Chin Siu-ho is a Hong Kong actor best known for his roles in classic martial arts and supernatural horror-comedy films of the 1980s and 1990s.
  • E. Liu Sung-pan
    Liu Sung-pan was a Taiwanese politician who served as a prominent leader in Taiwan’s legislature during the late 20th century.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64054299481908d83c85cefdab075 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.