Triple

T20022762
Position Surface form Disambiguated ID Type / Status
Subject Gresham College E494903 entity
Predicate hasNotableProfessor P13831 FINISHED
Object Rana Mitter
Rana Mitter is a British historian and political scientist renowned for his work on modern Chinese history and Sino-Japanese relations.
 E1406757 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: Rana Mitter | Statement: [Gresham College, hasNotableProfessor, Rana Mitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rana Mitter
Context triple: [Gresham College, hasNotableProfessor, Rana Mitter]
  • A. Leuva Patel
    Leuva Patel is a prominent sub-group of the broader Patel community, traditionally associated with agrarian roots and significant social and economic influence, particularly in the Indian state of Gujarat and among its diaspora.
  • B. Arun Phirojsha Nanda
    Arun Phirojsha Nanda is an Indian businessman known for his leadership roles within the Godrej Group conglomerate.
  • C. Sundaresh Menon
    Sundaresh Menon is a Singaporean jurist who serves as the country’s top judge and head of its judiciary.
  • D. Rensil D'Silva
    Rensil D'Silva is an Indian screenwriter and filmmaker known for his work on acclaimed Hindi films and television series.
  • E. Robert Maitia
    Robert Maitia is a television producer best known for serving as an executive producer on the animated Marvel series "M.O.D.O.K."
  • 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: Rana Mitter
Triple: [Gresham College, hasNotableProfessor, Rana Mitter]
Generated description
Rana Mitter is a British historian and political scientist renowned for his work on modern Chinese history and Sino-Japanese relations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rana Mitter
Target entity description: Rana Mitter is a British historian and political scientist renowned for his work on modern Chinese history and Sino-Japanese relations.
  • A. Leuva Patel
    Leuva Patel is a prominent sub-group of the broader Patel community, traditionally associated with agrarian roots and significant social and economic influence, particularly in the Indian state of Gujarat and among its diaspora.
  • B. Arun Phirojsha Nanda
    Arun Phirojsha Nanda is an Indian businessman known for his leadership roles within the Godrej Group conglomerate.
  • C. Sundaresh Menon
    Sundaresh Menon is a Singaporean jurist who serves as the country’s top judge and head of its judiciary.
  • D. Rensil D'Silva
    Rensil D'Silva is an Indian screenwriter and filmmaker known for his work on acclaimed Hindi films and television series.
  • E. Robert Maitia
    Robert Maitia is a television producer best known for serving as an executive producer on the animated Marvel series "M.O.D.O.K."
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e2d32008190a770addba6e44adb completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080ec9c56481908b69834b5a1ae105 completed May 16, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a080f6e218c8190b4c7b0d5de9f984c completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:35 p.m.