Triple

T7932422
Position Surface form Disambiguated ID Type / Status
Subject Bigtable E184216 entity
Predicate paperAuthorsInclude P63068 FINISHED
Object Wilson C. Hsieh
Wilson C. Hsieh is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
E697155 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: Wilson C. Hsieh | Statement: [Bigtable, paperAuthorsInclude, Wilson C. Hsieh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilson C. Hsieh
Context triple: [Bigtable, paperAuthorsInclude, Wilson C. Hsieh]
  • A. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • B. Albert Tsai
    Albert Tsai is an American child actor known for his comedic television roles, including his breakout performance on the sitcom "Trophy Wife."
  • C. Eric S. Yuan
    Eric S. Yuan is a Chinese-American entrepreneur best known as the founder and CEO of Zoom Video Communications, a leading video conferencing platform.
  • D. Andrew T. Hsu
    Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
  • E. Philip S. Yu
    Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
  • 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: Wilson C. Hsieh
Triple: [Bigtable, paperAuthorsInclude, Wilson C. Hsieh]
Generated description
Wilson C. Hsieh is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilson C. Hsieh
Target entity description: Wilson C. Hsieh is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
  • A. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • B. Albert Tsai
    Albert Tsai is an American child actor known for his comedic television roles, including his breakout performance on the sitcom "Trophy Wife."
  • C. Eric S. Yuan
    Eric S. Yuan is a Chinese-American entrepreneur best known as the founder and CEO of Zoom Video Communications, a leading video conferencing platform.
  • D. Andrew T. Hsu
    Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
  • E. Philip S. Yu
    Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3ace87f081908635769942645e78 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f22f89c8190a98208bf096a2427 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76d2dff8819085ad9e10baad1537 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:08 p.m.