Triple

T9734952
Position Surface form Disambiguated ID Type / Status
Subject Pym E236033 entity
Predicate hasNotableBearer P458 FINISHED
Object Anthony Pym
Anthony Pym is a translation studies scholar known for his influential work on translation theory, intercultural communication, and translator training.
 E818615 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: Anthony Pym | Statement: [Pym, hasNotableBearer, Anthony Pym]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anthony Pym
Context triple: [Pym, hasNotableBearer, Anthony Pym]
  • A. Alan Leech
    Alan Leech is an Irish actor best known for his role as Tom Branson in the television series "Downton Abbey."
  • B. John Sutherland
    John Sutherland is a prominent British literary critic and scholar known for his extensive work on Victorian literature and popular literary history.
  • C. Raymond Priestley
    Raymond Priestley was a British geologist and Antarctic explorer who later became a prominent academic and university administrator.
  • D. Walter Warlimont
    Walter Warlimont was a German Wehrmacht general who served as deputy chief of the Operations Staff of the OKW during World War II and was later convicted as a war criminal at the High Command Trial.
  • E. Kenneth Hyman
    Kenneth Hyman is a film producer best known for his work on the classic World War II action film "The Dirty Dozen."
  • 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: Anthony Pym
Triple: [Pym, hasNotableBearer, Anthony Pym]
Generated description
Anthony Pym is a translation studies scholar known for his influential work on translation theory, intercultural communication, and translator training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anthony Pym
Target entity description: Anthony Pym is a translation studies scholar known for his influential work on translation theory, intercultural communication, and translator training.
  • A. Alan Leech
    Alan Leech is an Irish actor best known for his role as Tom Branson in the television series "Downton Abbey."
  • B. John Sutherland
    John Sutherland is a prominent British literary critic and scholar known for his extensive work on Victorian literature and popular literary history.
  • C. Raymond Priestley
    Raymond Priestley was a British geologist and Antarctic explorer who later became a prominent academic and university administrator.
  • D. Walter Warlimont
    Walter Warlimont was a German Wehrmacht general who served as deputy chief of the Operations Staff of the OKW during World War II and was later convicted as a war criminal at the High Command Trial.
  • E. Kenneth Hyman
    Kenneth Hyman is a film producer best known for his work on the classic World War II action film "The Dirty Dozen."
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eebcec08190a9d4606fd26f2e19 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afce9834819090949690b4ca8622 completed April 5, 2026, 12:41 a.m.
NEDg Description generation batch_69d1b098c3348190a298cfe4921c8921 completed April 5, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69d1b124659481909e7a2ecaf01d8a50 completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:22 p.m.