Triple

T21229915
Position Surface form Disambiguated ID Type / Status
Subject The Man Inside E523179 entity
Predicate editedBy P1954 FINISHED
Object John Victor-Smith
John Victor-Smith is a film editor best known for his work on the movie "The Man Inside."
 E280667 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: John Victor-Smith | Statement: [The Man Inside, editedBy, John Victor-Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Victor-Smith
Context triple: [The Man Inside, editedBy, John Victor-Smith]
  • A. John Victor-Smith
    John Victor-Smith is a film editor best known for his work on major feature films including the superhero movie "Superman III."
  • B. David Bruce Smith
    David Bruce Smith is an American author, publisher, and philanthropist known for his works on history and his support of arts and educational initiatives.
  • C. Andreas Whittam Smith
    Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
  • D. Lewis Martin Smith
    Lewis Martin Smith was an individual significant enough in his region or community that a major reservoir, Lewis Smith Lake in Alabama, was named in his honor.
  • E. Peter H. Smith
    Peter H. Smith is a planetary scientist best known for leading NASA’s Phoenix Mars Lander mission as its principal investigator.
  • 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: John Victor-Smith
Triple: [The Man Inside, editedBy, John Victor-Smith]
Generated description
John Victor-Smith is a film editor best known for his work on the movie "The Man Inside."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Victor-Smith
Target entity description: John Victor-Smith is a film editor best known for his work on the movie "The Man Inside."
  • A. John Victor-Smith chosen
    John Victor-Smith is a film editor best known for his work on major feature films including the superhero movie "Superman III."
  • B. David Bruce Smith
    David Bruce Smith is an American author, publisher, and philanthropist known for his works on history and his support of arts and educational initiatives.
  • C. Andreas Whittam Smith
    Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
  • D. Lewis Martin Smith
    Lewis Martin Smith was an individual significant enough in his region or community that a major reservoir, Lewis Smith Lake in Alabama, was named in his honor.
  • E. Peter H. Smith
    Peter H. Smith is a planetary scientist best known for leading NASA’s Phoenix Mars Lander mission as its principal investigator.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986eb78208190b950f2c27d90f2d8 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a09876a38788190b2cef66b9d0c2f73 completed May 17, 2026, 9:16 a.m.
NED2 Entity disambiguation (via description) batch_6a09881c2d4c8190ab2cdf5dc99a43b0 completed May 17, 2026, 9:19 a.m.
Created at: April 16, 2026, 3:45 p.m.