Triple

T8156225
Position Surface form Disambiguated ID Type / Status
Subject Living (2022 film) E190455 entity
Predicate castMember P1668 FINISHED
Object Oliver Chris
Oliver Chris is a British actor known for his work in television comedies, stage productions, and film.
E717060 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: Oliver Chris | Statement: [Living (2022 film), castMember, Oliver Chris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Chris
Context triple: [Living (2022 film), castMember, Oliver Chris]
  • A. Oliver Wallace
    Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
  • B. Oliver Johnson
    Oliver Johnson was a prominent 19th-century American abolitionist, editor, and reformer active in the anti-slavery movement.
  • C. Oliver Sinclair
    Oliver Sinclair was a 16th-century Scottish courtier and military leader best known for his controversial command of the Scottish forces at the disastrous Battle of Solway Moss in 1542.
  • D. Oliver Nolan
    Oliver Nolan is one of the children of British film producer Emma Thomas and her husband, acclaimed director Christopher Nolan.
  • E. Oliver Butcher
    Oliver Butcher is a screenwriter known for co-writing films such as the thriller "Message from the King."
  • 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: Oliver Chris
Triple: [Living (2022 film), castMember, Oliver Chris]
Generated description
Oliver Chris is a British actor known for his work in television comedies, stage productions, and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oliver Chris
Target entity description: Oliver Chris is a British actor known for his work in television comedies, stage productions, and film.
  • A. Oliver Wallace
    Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
  • B. Oliver Johnson
    Oliver Johnson was a prominent 19th-century American abolitionist, editor, and reformer active in the anti-slavery movement.
  • C. Oliver Sinclair
    Oliver Sinclair was a 16th-century Scottish courtier and military leader best known for his controversial command of the Scottish forces at the disastrous Battle of Solway Moss in 1542.
  • D. Oliver Nolan
    Oliver Nolan is one of the children of British film producer Emma Thomas and her husband, acclaimed director Christopher Nolan.
  • E. Oliver Butcher
    Oliver Butcher is a screenwriter known for co-writing films such as the thriller "Message from the King."
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc37113108190901b02fae92764cf completed April 1, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_69ccd81bebf8819081b3c4efa5a9ef93 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.