Triple

T15872589
Position Surface form Disambiguated ID Type / Status
Subject Saint Louis School E384865 entity
Predicate producedAthlete P17934 FINISHED
Object John Hao
John Hao is an athlete who emerged from Saint Louis School’s sports program.
 E1183314 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: John Hao | Statement: [Saint Louis School, producedAthlete, John Hao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hao
Context triple: [Saint Louis School, producedAthlete, John Hao]
  • A. Charles Huang
    Charles Huang is an American entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
  • B. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • C. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • D. Andrew Hsia
    Andrew Hsia is a Taiwanese politician and diplomat known for serving in senior cross-strait and foreign affairs roles, including leadership positions in Taiwan’s Mainland policy and its foreign ministry.
  • E. William Li
    William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
  • 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: John Hao
Triple: [Saint Louis School, producedAthlete, John Hao]
Generated description
John Hao is an athlete who emerged from Saint Louis School’s sports program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Hao
Target entity description: John Hao is an athlete who emerged from Saint Louis School’s sports program.
  • A. Charles Huang
    Charles Huang is an American entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
  • B. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • C. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • D. Andrew Hsia
    Andrew Hsia is a Taiwanese politician and diplomat known for serving in senior cross-strait and foreign affairs roles, including leadership positions in Taiwan’s Mainland policy and its foreign ministry.
  • E. William Li
    William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155faefd08190af634867370796b3 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb041adac8190a8e6e5c646fdedf3 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1570324819086dfd14bab516811 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1eedaf481908d70e3517fbd5492 completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.