Triple

T22466306
Position Surface form Disambiguated ID Type / Status
Subject Nam Phương E555362 entity
Predicate givenName P17 FINISHED
Object Lan E1191125 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: Lan | Statement: [Nam Phương, givenName, Lan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lan
Context triple: [Nam Phương, givenName, Lan]
  • A. Lan
    Lan is the given name of Lan Samantha Chang, an American writer and director of the Iowa Writers’ Workshop known for her fiction exploring Chinese American experiences.
  • B. Lan chosen
    Lan is the courtesy name of Noble Consort Yi, a high-ranking imperial consort in the Qing dynasty court of China.
  • C. Lou-lan
    Lou-lan is an ancient Silk Road kingdom and archaeological site located near the former shoreline of Lop Nur in what is now Xinjiang, China.
  • D. Lanaye
    Lanaye is a village in the municipality of Visé in the province of Liège, Belgium, situated along the Meuse River near the Dutch border.
  • E. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b837ec081909c4e44d37e8b2acd completed April 29, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1254b6f08190923842daebe93b99 completed May 18, 2026, 1:21 p.m.
Created at: April 16, 2026, 8:48 p.m.