Triple

T3694645
Position Surface form Disambiguated ID Type / Status
Subject Eli Yablonovitch E78426 entity
Predicate notableStudent P4838 FINISHED
Object Shanhui Fan
Shanhui Fan is a Chinese-American physicist and electrical engineer known for his pioneering work in photonics, nanophotonics, and solar energy conversion.
E379713 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: Shanhui Fan | Statement: [Eli Yablonovitch, notableStudent, Shanhui Fan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanhui Fan
Context triple: [Eli Yablonovitch, notableStudent, Shanhui Fan]
  • A. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • B. Jian Sun
    Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
  • C. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • D. Shaoqing Ren
    Shaoqing Ren is a Chinese computer vision researcher best known as a co-developer of deep learning architectures such as ResNet and Faster R-CNN that have significantly advanced image recognition and object detection.
  • E. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • 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: Shanhui Fan
Triple: [Eli Yablonovitch, notableStudent, Shanhui Fan]
Generated description
Shanhui Fan is a Chinese-American physicist and electrical engineer known for his pioneering work in photonics, nanophotonics, and solar energy conversion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shanhui Fan
Target entity description: Shanhui Fan is a Chinese-American physicist and electrical engineer known for his pioneering work in photonics, nanophotonics, and solar energy conversion.
  • A. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • B. Jian Sun
    Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
  • C. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • D. Shaoqing Ren
    Shaoqing Ren is a Chinese computer vision researcher best known as a co-developer of deep learning architectures such as ResNet and Faster R-CNN that have significantly advanced image recognition and object detection.
  • E. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4eafd348190986f69aee787fd8f completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c5280d788190b59b23acf5f77811 completed March 14, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69b4c58b13c48190b975e61000aa1f05 completed March 14, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:26 p.m.