Triple

T2316906
Position Surface form Disambiguated ID Type / Status
Subject University of Surrey E51085 entity
Predicate hasViceChancellor P142 FINISHED
Object Max Lu
Max Lu is a chemical engineer and academic leader who serves as the Vice-Chancellor and President of the University of Surrey in the United Kingdom.
E256456 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: Max Lu | Statement: [University of Surrey, hasViceChancellor, Max Lu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Lu
Context triple: [University of Surrey, hasViceChancellor, Max Lu]
  • A. Max Vatan
    Max Vatan is a skilled Canadian intelligence officer and pilot portrayed by Brad Pitt in the World War II romantic thriller film "Allied."
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Elon
    Elon is a minor biblical judge of Israel mentioned in the Book of Judges.
  • E. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • 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: Max Lu
Triple: [University of Surrey, hasViceChancellor, Max Lu]
Generated description
Max Lu is a chemical engineer and academic leader who serves as the Vice-Chancellor and President of the University of Surrey in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Max Lu
Target entity description: Max Lu is a chemical engineer and academic leader who serves as the Vice-Chancellor and President of the University of Surrey in the United Kingdom.
  • A. Max Vatan
    Max Vatan is a skilled Canadian intelligence officer and pilot portrayed by Brad Pitt in the World War II romantic thriller film "Allied."
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Elon
    Elon is a minor biblical judge of Israel mentioned in the Book of Judges.
  • E. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ab5bf78819085120418a26cbe28 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b2a89788190975ab66f432f834f completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:49 p.m.