Triple

T3566424
Position Surface form Disambiguated ID Type / Status
Subject Li Lisan E75459 entity
Predicate givenName P17 FINISHED
Object Lisan
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
 E369714 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: Lisan | Statement: [Li Lisan, givenName, Lisan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisan
Context triple: [Li Lisan, givenName, Lisan]
  • A. Luri
    Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • E. Sana
    Sana is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," playing a role in the protagonist’s turbulent, psychologically driven narrative.
  • 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: Lisan
Triple: [Li Lisan, givenName, Lisan]
Generated description
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisan
Target entity description: Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
  • A. Luri
    Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • E. Sana
    Sana is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," playing a role in the protagonist’s turbulent, psychologically driven narrative.
  • F. None of above. chosen

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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbacbb1081908fc57168a8fc3ade completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf78d6a881908d5bcc4ae50a76e5 completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b2fdcc8190842d2d7bd09c65c4 completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.