Triple

T14084792
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Liangguang E338962 entity
Predicate officeHeldBy P537 FINISHED
Object Enlin
Enlin was a historical Chinese official who served as the Governor-General of Liangguang, overseeing the imperial administration of the Guangdong and Guangxi regions.
 E1078216 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: Enlin | Statement: [Governor-General of Liangguang, officeHeldBy, Enlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enlin
Context triple: [Governor-General of Liangguang, officeHeldBy, Enlin]
  • A. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • B. Harline
    Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
  • C. Rineh
    Rineh is a small village in Iran’s Mazandaran Province that serves as a common base and starting point for climbers ascending Mount Damavand.
  • D. Ombline
    Ombline is a French drama film in which Mélanie Thierry delivers a powerful performance as a young mother navigating life in prison.
  • E. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • 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: Enlin
Triple: [Governor-General of Liangguang, officeHeldBy, Enlin]
Generated description
Enlin was a historical Chinese official who served as the Governor-General of Liangguang, overseeing the imperial administration of the Guangdong and Guangxi regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enlin
Target entity description: Enlin was a historical Chinese official who served as the Governor-General of Liangguang, overseeing the imperial administration of the Guangdong and Guangxi regions.
  • A. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • B. Harline
    Harline is a surname most notably associated with Leigh Harline, an American film composer known for his work with Walt Disney Studios.
  • C. Rineh
    Rineh is a small village in Iran’s Mazandaran Province that serves as a common base and starting point for climbers ascending Mount Damavand.
  • D. Ombline
    Ombline is a French drama film in which Mélanie Thierry delivers a powerful performance as a young mother navigating life in prison.
  • E. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb676620481908ed2fa5687a21866 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc5c893dc81908538136e0f9170ca completed May 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69fcc64ac93c8190ad40a04c74f70e18 completed May 7, 2026, 5:05 p.m.
Created at: April 9, 2026, 10:21 p.m.