Triple

T18724606
Position Surface form Disambiguated ID Type / Status
Subject Pranav Shyam E457864 entity
Predicate coAuthorWith P398 FINISHED
Object Jeff Wu
Jeff Wu is a machine learning researcher known for his work on deep learning and reinforcement learning, including influential collaborations on large language models.
 E104412 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: Jeff Wu | Statement: [Pranav Shyam, coAuthorWith, Jeff Wu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeff Wu
Context triple: [Pranav Shyam, coAuthorWith, Jeff Wu]
  • A. Jeff Wu
    Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
  • B. Louis Wu
    Louis Wu is a central human protagonist in Larry Niven’s Known Space science fiction series, best known for his role in the novel "Ringworld."
  • C. Leo Wu
    Leo Wu is a popular Chinese actor known for his roles in historical and fantasy television dramas and films.
  • D. Jeffrey Wu
    Jeffrey Wu is a researcher in artificial intelligence and machine learning, known for his contributions to large language models and few-shot learning.
  • E. Richard Cheng
    Richard Cheng is a character in the "Crazy Rich Asians" universe, known as the wealthy, old-money uncle of Nick Young.
  • 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: Jeff Wu
Triple: [Pranav Shyam, coAuthorWith, Jeff Wu]
Generated description
Jeff Wu is a machine learning researcher known for his work on deep learning and reinforcement learning, including influential collaborations on large language models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeff Wu
Target entity description: Jeff Wu is a machine learning researcher known for his work on deep learning and reinforcement learning, including influential collaborations on large language models.
  • A. Jeff Wu chosen
    Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
  • B. Louis Wu
    Louis Wu is a central human protagonist in Larry Niven’s Known Space science fiction series, best known for his role in the novel "Ringworld."
  • C. Leo Wu
    Leo Wu is a popular Chinese actor known for his roles in historical and fantasy television dramas and films.
  • D. Jeffrey Wu
    Jeffrey Wu is a researcher in artificial intelligence and machine learning, known for his contributions to large language models and few-shot learning.
  • E. Richard Cheng
    Richard Cheng is a character in the "Crazy Rich Asians" universe, known as the wealthy, old-money uncle of Nick Young.
  • F. None of above.

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d72d2c4819080b0d31860976b5e completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d2cb5d48190941eb7fd2d7b0208 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053dc33ef881908932e18c90327a64 completed May 14, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a053e2572d481909ca657ab19ad063e completed May 14, 2026, 3:14 a.m.
Created at: April 10, 2026, 11:50 a.m.