Triple

T13861595
Position Surface form Disambiguated ID Type / Status
Subject The Newsreader E333208 entity
Predicate hasMainCharacter P1183 FINISHED
Object Harry
Harry is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s TV newsroom staff.
E1066755 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: Harry | Statement: [The Newsreader, hasMainCharacter, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry
Context triple: [The Newsreader, hasMainCharacter, Harry]
  • A. Harry
    Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
  • B. Harry
    Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
  • C. Harry
    Harry is the given name of Lord Woolf, a prominent British judge and former Lord Chief Justice of England and Wales.
  • D. Harry
    Harry is the given first name of Major League Baseball manager and former pitcher Bud Black.
  • E. Harry
    Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
  • 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: Harry
Triple: [The Newsreader, hasMainCharacter, Harry]
Generated description
Harry is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s TV newsroom staff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry
Target entity description: Harry is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s TV newsroom staff.
  • A. Harry
    Harry is a character from the romantic comedy film "Love Actually," known for his role in one of the movie’s interwoven relationship storylines.
  • B. Harry
    Harry is a character in the Peaky Blinders universe who becomes a victim of Arthur Shelby’s violent control and exploitation.
  • C. Harry
    Harry is the given name of English actor Harry Treadaway, known for roles in film and television such as "Penny Dreadful."
  • D. Harry
    Harry is a fictional character best known as the leader of a group of professional thieves in the 2018 heist film "Widows."
  • E. Harry
    Harry is a fictional character who appears in the narrative of "The Collection."
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c33437e8819085b6f79402500ba3 completed May 3, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3cd3cf0819099cc6cbd04c62e83 completed May 3, 2026, 9:53 p.m.
Created at: April 9, 2026, 10:14 p.m.