Triple

T20022776
Position Surface form Disambiguated ID Type / Status
Subject Gresham College E494903 entity
Predicate hasNotableProfessor P13831 FINISHED
Object Martin Thomas
Martin Thomas is a distinguished academic and historian known for his public lectures and scholarship, including his role as a professor associated with Gresham College in London.
 E1406766 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: Martin Thomas | Statement: [Gresham College, hasNotableProfessor, Martin Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martin Thomas
Context triple: [Gresham College, hasNotableProfessor, Martin Thomas]
  • A. John Thomas
    John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
  • B. John Thomas
    John Thomas was a 19th-century British sculptor known for his architectural and commemorative works, including prominent public monuments.
  • C. John Thomas
    John Thomas is an author known for writing about the Predator franchise.
  • D. John Thomas
    John Thomas is a film producer best known for his work on the action thriller "Executive Decision."
  • E. John Thomas
    John Thomas is a creator best known for developing the character Mac Eliot.
  • 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: Martin Thomas
Triple: [Gresham College, hasNotableProfessor, Martin Thomas]
Generated description
Martin Thomas is a distinguished academic and historian known for his public lectures and scholarship, including his role as a professor associated with Gresham College in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martin Thomas
Target entity description: Martin Thomas is a distinguished academic and historian known for his public lectures and scholarship, including his role as a professor associated with Gresham College in London.
  • A. John Thomas
    John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
  • B. John Thomas
    John Thomas was a 19th-century British sculptor known for his architectural and commemorative works, including prominent public monuments.
  • C. John Thomas
    John Thomas is a film producer best known for his work on the action thriller "Executive Decision."
  • D. John Thomas
    John Thomas is an author known for writing about the Predator franchise.
  • E. John Thomas
    John Thomas is a creator best known for developing the character Mac Eliot.
  • 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.