Triple

T10588806
Position Surface form Disambiguated ID Type / Status
Subject The Thick of It E249926 entity
Predicate starred P5563 FINISHED
Object James Smith
James Smith is a British actor best known for his comedic role as government adviser Glenn Cullen in the political satire series "The Thick of It."
 E879887 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: James Smith | Statement: [The Thick of It, starred, James Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Smith
Context triple: [The Thick of It, starred, James Smith]
  • A. James Smith
    James Smith was a notable Scottish architect active in the late 17th and early 18th centuries, recognized for designing prominent ecclesiastical and civic buildings.
  • B. James Smith
    James Smith was a film editor active in early American cinema, known for his work on the 1920 silent drama "Pollyanna."
  • C. James Smith
    James Smith is a distinguished former student of New London Academy recognized for his notable achievements after attending the institution.
  • D. James Smith
    James Smith is the individual to whom "The Epistle to James Smith" is addressed, serving as its intended recipient and central figure.
  • E. James Smith
    James Smith is a songwriter credited with co-writing the early rock and roll song "Slippin' and Slidin'."
  • 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: James Smith
Triple: [The Thick of It, starred, James Smith]
Generated description
James Smith is a British actor best known for his comedic role as government adviser Glenn Cullen in the political satire series "The Thick of It."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Smith
Target entity description: James Smith is a British actor best known for his comedic role as government adviser Glenn Cullen in the political satire series "The Thick of It."
  • A. James Smith
    James Smith was a film editor active in early American cinema, known for his work on the 1920 silent drama "Pollyanna."
  • B. James Smith
    James Smith is a distinguished former student of New London Academy recognized for his notable achievements after attending the institution.
  • C. James Smith
    James Smith was a notable Scottish architect active in the late 17th and early 18th centuries, recognized for designing prominent ecclesiastical and civic buildings.
  • D. James Smith
    James Smith is the individual to whom "The Epistle to James Smith" is addressed, serving as its intended recipient and central figure.
  • E. James Smith
    James Smith is a songwriter credited with co-writing the early rock and roll song "Slippin' and Slidin'."
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527793c588190bfe3a5261eb7f919 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9988fca088190b13b651985677a6a completed April 11, 2026, 12:40 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 6, 2026, 12:40 p.m.