Triple

T17498030
Position Surface form Disambiguated ID Type / Status
Subject Lan Ying Lin E426116 entity
Predicate hasFamilyName P18 FINISHED
Object Lan
Lan is a Chinese surname shared by various individuals across different regions and professions.
E839801 NE FINISHED

How this triple was built (4 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: [Lan Ying Lin, hasFamilyName, Lan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lan
Context triple: [Lan Ying Lin, hasFamilyName, 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
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lan
Triple: [Lan Ying Lin, hasFamilyName, Lan]
Generated description
Lan is a Chinese surname shared by various individuals across different regions and professions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lan
Target entity description: Lan is a Chinese surname shared by various individuals across different regions and professions.
  • A. Lan chosen
    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
    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.

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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520f6790819092c36e0e4ecc4cd3 completed April 19, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c2067774819089728021aef5f967 completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c36b06dc81909f52cbe1c57eb128 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.