Triple

T11465333
Position Surface form Disambiguated ID Type / Status
Subject Four Friends E271765 entity
Predicate editedBy P1954 FINISHED
Object Arthur Ornitz
Arthur Ornitz was an American cinematographer known for his work on numerous films from the 1960s through the 1980s.
E949802 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: Arthur Ornitz | Statement: [Four Friends, editedBy, Arthur Ornitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Ornitz
Context triple: [Four Friends, editedBy, Arthur Ornitz]
  • A. Andrew Shulkind
    Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
  • B. Roger Birnbaum
    Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
  • C. Douglas Shulman
    Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
  • D. Philip Levene
    Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
  • E. Jerry Bresler
    Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
  • 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: Arthur Ornitz
Triple: [Four Friends, editedBy, Arthur Ornitz]
Generated description
Arthur Ornitz was an American cinematographer known for his work on numerous films from the 1960s through the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur Ornitz
Target entity description: Arthur Ornitz was an American cinematographer known for his work on numerous films from the 1960s through the 1980s.
  • A. Andrew Shulkind
    Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
  • B. Roger Birnbaum
    Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
  • C. Douglas Shulman
    Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
  • D. Philip Levene
    Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
  • E. Jerry Bresler
    Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f165f5b3d081909c00144eb9291ff5 completed April 29, 2026, 1:59 a.m.
NEDg Description generation batch_69f170034b488190a6976d3333823caa completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17805325881908b98eb9c8fc59778 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:35 p.m.