Triple

T20200772
Position Surface form Disambiguated ID Type / Status
Subject Murder at the Vanities E493209 entity
Predicate editedBy P1954 FINISHED
Object James Smith
James Smith is a film editor known for his work on the 1934 musical mystery film "Murder at the Vanities."
 E257300 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: [Murder at the Vanities, editedBy, James Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Smith
Context triple: [Murder at the Vanities, editedBy, 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 is a distinguished former student of New London Academy recognized for his notable achievements after attending the institution.
  • C. James Smith
    James Smith is the individual to whom "The Epistle to James Smith" is addressed, serving as its intended recipient and central figure.
  • D. James Smith
    James Smith is a songwriter credited with co-writing the early rock and roll song "Slippin' and Slidin'."
  • E. 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."
  • 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: [Murder at the Vanities, editedBy, James Smith]
Generated description
James Smith is a film editor known for his work on the 1934 musical mystery film "Murder at the Vanities."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Smith
Target entity description: James Smith is a film editor known for his work on the 1934 musical mystery film "Murder at the Vanities."
  • A. James Smith chosen
    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 an editor known for his work on the publication Border Flight.
  • 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 a songwriter credited with co-writing the early rock and roll song "Slippin' and Slidin'."
  • E. 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."
  • F. None of above.

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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843e8cd9c8190853f116ed0e4662b completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0844d37fc48190a73ab9d45227e7eb completed May 16, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a084554462081908a1b801fe1528fa0 completed May 16, 2026, 10:22 a.m.
Created at: April 11, 2026, 11:37 p.m.