Triple

T20144184
Position Surface form Disambiguated ID Type / Status
Subject Han Dejun E491257 entity
Predicate givenName P17 FINISHED
Object Dejun
Dejun is a Chinese given name commonly used for males.
 E1412599 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: Dejun | Statement: [Han Dejun, givenName, Dejun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dejun
Context triple: [Han Dejun, givenName, Dejun]
  • A. Deas
    Deas is a surname most notably associated with American actor Justin Deas, known for his roles in daytime television soap operas.
  • B. Denjaka
    Denjaka is an elite Indonesian naval special forces unit specializing in maritime counter-terrorism, sabotage, and underwater operations.
  • C. Dehu
    Dehu is a pilgrimage town in Maharashtra, India, revered as the birthplace and spiritual center of the 17th-century Marathi saint-poet Tukaram.
  • D. Dehu
    Dehu is an Austronesian language spoken primarily on Lifou Island in New Caledonia, where it serves as the traditional language of the indigenous Drehu people.
  • E. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • 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: Dejun
Triple: [Han Dejun, givenName, Dejun]
Generated description
Dejun is a Chinese given name commonly used for males.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dejun
Target entity description: Dejun is a Chinese given name commonly used for males.
  • A. Deas
    Deas is a surname most notably associated with American actor Justin Deas, known for his roles in daytime television soap operas.
  • B. Denjaka
    Denjaka is an elite Indonesian naval special forces unit specializing in maritime counter-terrorism, sabotage, and underwater operations.
  • C. Dehu
    Dehu is a pilgrimage town in Maharashtra, India, revered as the birthplace and spiritual center of the 17th-century Marathi saint-poet Tukaram.
  • D. Dehu
    Dehu is an Austronesian language spoken primarily on Lifou Island in New Caledonia, where it serves as the traditional language of the indigenous Drehu people.
  • E. Dahegam
    Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679d89688190ae88d81002d16d6e completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de8a0dc8190a4b7ecc580f720f0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ec3d1348190baa740b2c28af65c completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f9cf5908190b9b766c70164ee75 completed May 16, 2026, 8:49 a.m.
Created at: April 11, 2026, 11:33 p.m.