Triple

T15833971
Position Surface form Disambiguated ID Type / Status
Subject Andy Fang E383938 entity
Predicate sharesNameWith P15168 FINISHED
Object Andy Fang (professional poker player)
Andy Fang is a professional poker player known for competing in high-stakes tournaments and cash games.
 E1180438 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: Andy Fang (professional poker player) | Statement: [Andy Fang, sharesNameWith, Andy Fang (professional poker player)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andy Fang (professional poker player)
Context triple: [Andy Fang, sharesNameWith, Andy Fang (professional poker player)]
  • A. Andy Fang
    Andy Fang is an American entrepreneur best known as a co-founder of the food delivery company DoorDash.
  • B. Freddie Chan
    Freddie Chan is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Chan.
  • C. Fan Hui
    Fan Hui is a professional Go player who became widely known as the first human defeated by DeepMind's AlphaGo program in an official match.
  • D. Randy Chin
    Randy Chin is a Jamaican music producer and executive known for his work in the reggae and dancehall industry, including involvement with the influential VP Records label founded by his parents.
  • E. Brandon Yip
    Brandon Yip is a Canadian professional ice hockey forward who has played in the NHL and various international leagues.
  • 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: Andy Fang (professional poker player)
Triple: [Andy Fang, sharesNameWith, Andy Fang (professional poker player)]
Generated description
Andy Fang is a professional poker player known for competing in high-stakes tournaments and cash games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andy Fang (professional poker player)
Target entity description: Andy Fang is a professional poker player known for competing in high-stakes tournaments and cash games.
  • A. Andy Fang
    Andy Fang is an American entrepreneur best known as a co-founder of the food delivery company DoorDash.
  • B. Freddie Chan
    Freddie Chan is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Chan.
  • C. Fan Hui
    Fan Hui is a professional Go player who became widely known as the first human defeated by DeepMind's AlphaGo program in an official match.
  • D. Randy Chin
    Randy Chin is a Jamaican music producer and executive known for his work in the reggae and dancehall industry, including involvement with the influential VP Records label founded by his parents.
  • E. Brandon Yip
    Brandon Yip is a Canadian professional ice hockey forward who has played in the NHL and various international leagues.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e6670d48190a456581dd951f168 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:49 a.m.