Triple

T11747504
Position Surface form Disambiguated ID Type / Status
Subject Tsotsi E279321 entity
Predicate musicBy P1952 FINISHED
Object Paul Hepker
Paul Hepker is a South African composer best known for his film scores, particularly his acclaimed work on the Oscar-winning film "Tsotsi."
E1003799 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: Paul Hepker | Statement: [Tsotsi, musicBy, Paul Hepker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Hepker
Context triple: [Tsotsi, musicBy, Paul Hepker]
  • A. Paul Knabenshue
    Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
  • B. Paul Groesse
    Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
  • C. Erik Heinrichs
    Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
  • D. Michael Schiffer
    Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
  • E. Erik Messerschmidt
    Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
  • 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: Paul Hepker
Triple: [Tsotsi, musicBy, Paul Hepker]
Generated description
Paul Hepker is a South African composer best known for his film scores, particularly his acclaimed work on the Oscar-winning film "Tsotsi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Hepker
Target entity description: Paul Hepker is a South African composer best known for his film scores, particularly his acclaimed work on the Oscar-winning film "Tsotsi."
  • A. Paul Knabenshue
    Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
  • B. Paul Groesse
    Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
  • C. Erik Heinrichs
    Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
  • D. Michael Schiffer
    Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
  • E. Erik Messerschmidt
    Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9b70d08190aa74e612947317b5 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 8, 2026, 9:41 p.m.