Triple

T17741598
Position Surface form Disambiguated ID Type / Status
Subject Nadrian Seeman E442870 entity
Predicate notableStudent P4838 FINISHED
Object William Shih
William Shih is a biophysicist and pioneer in DNA nanotechnology known for designing complex DNA-based structures and devices.
E1285354 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: William Shih | Statement: [Nadrian Seeman, notableStudent, William Shih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Shih
Context triple: [Nadrian Seeman, notableStudent, William Shih]
  • A. 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.
  • B. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • 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. Stan Shih
    Stan Shih is a Taiwanese entrepreneur and philanthropist best known as the co-founder and longtime leader of the multinational computer company Acer Inc.
  • E. Edward J. Pei
    Edward J. Pei is a film cinematographer known for his work on feature films such as the biographical drama "Why Do Fools Fall in Love."
  • 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: William Shih
Triple: [Nadrian Seeman, notableStudent, William Shih]
Generated description
William Shih is a biophysicist and pioneer in DNA nanotechnology known for designing complex DNA-based structures and devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Shih
Target entity description: William Shih is a biophysicist and pioneer in DNA nanotechnology known for designing complex DNA-based structures and devices.
  • A. 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.
  • B. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • 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. Stan Shih
    Stan Shih is a Taiwanese entrepreneur and philanthropist best known as the co-founder and longtime leader of the multinational computer company Acer Inc.
  • E. Edward J. Pei
    Edward J. Pei is a film cinematographer known for his work on feature films such as the biographical drama "Why Do Fools Fall in Love."
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acd780c8190b1308ef0aca00f5c completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242fd4a008190b199a7a557ee24a4 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02451d83548190a7bb509f28a0d953 completed May 11, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a024574a9248190bc59aec3471cc999 completed May 11, 2026, 9:09 p.m.
Created at: April 10, 2026, 10:09 a.m.