Triple

T4291885
Position Surface form Disambiguated ID Type / Status
Subject Corpus E99611 entity
Predicate hasNotableAlumni P51 FINISHED
Object Sir Anthony Hart
Sir Anthony Hart was a prominent Irish lawyer and judge who served as Lord Chancellor of Ireland in the early 19th century.
E429690 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: Sir Anthony Hart | Statement: [Corpus, hasNotableAlumni, Sir Anthony Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Anthony Hart
Context triple: [Corpus, hasNotableAlumni, Sir Anthony Hart]
  • A. Thomas Forster
    Thomas Forster is a Jacobite military leader best known for commanding the rebel forces during the 1715 Jacobite rising in England.
  • B. Ian Stewart
    Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
  • C. William Kneale
    William Kneale was a British philosopher and logician best known for his influential work on the history and philosophy of logic, particularly as co-author of "The Development of Logic."
  • D. Peter Johnstone
    Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
  • E. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • 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: Sir Anthony Hart
Triple: [Corpus, hasNotableAlumni, Sir Anthony Hart]
Generated description
Sir Anthony Hart was a prominent Irish lawyer and judge who served as Lord Chancellor of Ireland in the early 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sir Anthony Hart
Target entity description: Sir Anthony Hart was a prominent Irish lawyer and judge who served as Lord Chancellor of Ireland in the early 19th century.
  • A. Thomas Forster
    Thomas Forster is a Jacobite military leader best known for commanding the rebel forces during the 1715 Jacobite rising in England.
  • B. Ian Stewart
    Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
  • C. William Kneale
    William Kneale was a British philosopher and logician best known for his influential work on the history and philosophy of logic, particularly as co-author of "The Development of Logic."
  • D. Peter Johnstone
    Peter Johnstone is a British mathematician renowned for his influential work in category theory and topos theory.
  • E. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c739df2c8190af6f8d9bf36afca8 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5cb0529f881908ec004a07c47306e completed March 14, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69b5cba3a41481908622509478184052 completed March 14, 2026, 8:57 p.m.
Created at: March 12, 2026, 11:08 p.m.