Triple

T13861594
Position Surface form Disambiguated ID Type / Status
Subject The Newsreader E333208 entity
Predicate hasMainCharacter P1183 FINISHED
Object Peter
Peter is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
E1066754 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: Peter | Statement: [The Newsreader, hasMainCharacter, Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter
Context triple: [The Newsreader, hasMainCharacter, Peter]
  • A. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • B. Peter
    Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
  • C. Peter
    Peter is the sensible, rule-abiding leader of Enid Blyton’s Secret Seven children’s detective club.
  • D. Peter
    Peter was one of the leaders of the late 12th-century Bulgarian uprising that restored the Bulgarian Empire against Byzantine rule.
  • E. Peter
    Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
  • 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: Peter
Triple: [The Newsreader, hasMainCharacter, Peter]
Generated description
Peter is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter
Target entity description: Peter is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
  • A. Peter
    Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
  • B. Peter
    Peter is a character known as a friend and companion of Chinky the pixie in children's fantasy stories.
  • C. Peter
    Peter is a central character in the darkly comedic short film "The New Tenants," around whom much of the film’s tension and absurdity unfolds.
  • D. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • E. Peter
    Peter is a recurring child character in Enid Blyton’s “Wishing-Chair” fantasy series, known for his magical adventures involving a flying chair.
  • 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.