Triple

T19788316
Position Surface form Disambiguated ID Type / Status
Subject Final Cut E475335 entity
Predicate cinematographyBy P1953 FINISHED
Object John Ward
John Ward is a cinematographer known for his work on the film "Final Cut."
E1398497 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 Ward | Statement: [Final Cut, cinematographyBy, John Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Ward
Context triple: [Final Cut, cinematographyBy, John Ward]
  • A. John Ward
    John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
  • B. John Ward
    John Ward is a musician best known for his role in the New York City rock band Elephant’s Memory, which was closely associated with John Lennon and Yoko Ono in the early 1970s.
  • C. John Ward
    John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
  • D. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • E. Thomas Ward
    Thomas Ward is a common English personal name shared by numerous individuals across history, including politicians, writers, athletes, and other public figures.
  • 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 Ward
Triple: [Final Cut, cinematographyBy, John Ward]
Generated description
John Ward is a cinematographer known for his work on the film "Final Cut."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Ward
Target entity description: John Ward is a cinematographer known for his work on the film "Final Cut."
  • A. John Ward
    John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
  • B. John Ward
    John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
  • C. John Ward
    John Ward is a musician best known for his role in the New York City rock band Elephant’s Memory, which was closely associated with John Lennon and Yoko Ono in the early 1970s.
  • D. Edward Ward
    Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
  • E. Thomas Ward
    Thomas Ward is a common English personal name shared by numerous individuals across history, including politicians, writers, athletes, and other public figures.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389c9ac81909e61b3cbb9213e72 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d42c1a0481909a505a37aa92ad5e completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d4e943b081909f98c72683d62e62 completed May 16, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07d5bc8e748190a4f97e6b23e56edd completed May 16, 2026, 2:26 a.m.
Created at: April 10, 2026, 1:49 p.m.