Triple

T3582327
Position Surface form Disambiguated ID Type / Status
Subject Pacific Biosciences E75827 entity
Predicate foundedBy P104 FINISHED
Object David H. Tu
David H. Tu is a biotechnology entrepreneur best known as a founder of the DNA sequencing company Pacific Biosciences.
 E371068 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: David H. Tu | Statement: [Pacific Biosciences, foundedBy, David H. Tu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David H. Tu
Context triple: [Pacific Biosciences, foundedBy, David H. Tu]
  • A. Andrew T. Hsu
    Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
  • B. Philip S. Yu
    Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
  • C. Yu-Chi Ho
    Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
  • D. Quoc V. Le
    Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
  • E. Mung Chiang
    Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
  • 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: David H. Tu
Triple: [Pacific Biosciences, foundedBy, David H. Tu]
Generated description
David H. Tu is a biotechnology entrepreneur best known as a founder of the DNA sequencing company Pacific Biosciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David H. Tu
Target entity description: David H. Tu is a biotechnology entrepreneur best known as a founder of the DNA sequencing company Pacific Biosciences.
  • A. Andrew T. Hsu
    Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
  • B. Philip S. Yu
    Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
  • C. Yu-Chi Ho
    Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
  • D. Quoc V. Le
    Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
  • E. Mung Chiang
    Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc102cb2881908fa4dc1bf6fa5961 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402f36b2481909d4716e72a696e0d completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b403b9e7ac8190917e7313279b1c46 completed March 13, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69b4086f6da4819084778dffa33ef116 completed March 13, 2026, 12:51 p.m.
Created at: March 8, 2026, 3:21 p.m.