Triple

T16165115
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xizong of Jin E392283 entity
Predicate givenName P17 FINISHED
Object Dan
Dan was the personal name of Emperor Xizong, a 12th-century ruler of the Jurchen-led Jin dynasty in northern China.
E1197394 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: Dan | Statement: [Emperor Xizong of Jin, givenName, Dan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan
Context triple: [Emperor Xizong of Jin, givenName, Dan]
  • A. Dan
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • B. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • C. Dan
    Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • D. Dan
    Dan is a character in the play "Clybourne Park," representing a contemporary figure who uncovers the neighborhood’s buried history and helps connect past events to present-day tensions.
  • E. Dan
    Dan, better known as the Duke of Zhou, was an influential early Zhou dynasty statesman and regent in ancient China renowned for consolidating royal power and shaping foundational political and ritual institutions.
  • 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: Dan
Triple: [Emperor Xizong of Jin, givenName, Dan]
Generated description
Dan was the personal name of Emperor Xizong, a 12th-century ruler of the Jurchen-led Jin dynasty in northern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan
Target entity description: Dan was the personal name of Emperor Xizong, a 12th-century ruler of the Jurchen-led Jin dynasty in northern China.
  • A. Dan
    Dan, better known as the Duke of Zhou, was an influential early Zhou dynasty statesman and regent in ancient China renowned for consolidating royal power and shaping foundational political and ritual institutions.
  • B. Dan
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • C. Dan
    Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • D. Dan
    Dan is a central character in Louisa May Alcott's novel "Jo's Boys," known for his rough past, adventurous spirit, and deep loyalty to the Bhaer family.
  • E. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb2a25c819095437b25e6ab83f3 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b96bf08190b23bd3b705a34c61 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff87caefc8190836d690dfb2523f9 completed May 10, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69fff98b3d7c8190bb284321d17f58e2 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:02 a.m.