Triple

T6108488
Position Surface form Disambiguated ID Type / Status
Subject Borjigin E136172 entity
Predicate hasAncestor P369 FINISHED
Object Alan Gua
Alan Gua is a legendary ancestral figure in Mongol tradition, regarded as a mythic foremother of the Borjigin clan from which Genghis Khan descended.
 E569327 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: Alan Gua | Statement: [Borjigin, hasAncestor, Alan Gua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alan Gua
Context triple: [Borjigin, hasAncestor, Alan Gua]
  • A. Gabriel Goh
    Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
  • B. Ken Seng
    Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
  • C. Mark Chee
    Mark Chee is a molecular biologist and entrepreneur best known as a co-founder of Illumina, a leading company in DNA sequencing and genomics technologies.
  • D. Vincent Tan
    Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
  • E. David Luan
    David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
  • 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: Alan Gua
Triple: [Borjigin, hasAncestor, Alan Gua]
Generated description
Alan Gua is a legendary ancestral figure in Mongol tradition, regarded as a mythic foremother of the Borjigin clan from which Genghis Khan descended.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alan Gua
Target entity description: Alan Gua is a legendary ancestral figure in Mongol tradition, regarded as a mythic foremother of the Borjigin clan from which Genghis Khan descended.
  • A. Gabriel Goh
    Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
  • B. Ken Seng
    Ken Seng is a cinematographer known for his visually distinctive work on films such as "Obsessed."
  • C. Mark Chee
    Mark Chee is a molecular biologist and entrepreneur best known as a co-founder of Illumina, a leading company in DNA sequencing and genomics technologies.
  • D. Vincent Tan
    Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
  • E. David Luan
    David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b835ed48190971c3ba397ca329f completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255f03e08190b62cd8ca2c079afb completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1268cbac48190aae1682b1620ea41 completed March 23, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69c1274251c4819090de776c702e4ac8 completed March 23, 2026, 11:42 a.m.
Created at: March 22, 2026, 4:13 p.m.