Triple

T20793397
Position Surface form Disambiguated ID Type / Status
Subject Peter's Friends E511835 entity
Predicate hasCharacter P2308 FINISHED
Object Sarah
Sarah is a fictional character from the British ensemble comedy-drama film "Peter's Friends."
E511835 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: Sarah | Statement: [Peter's Friends, hasCharacter, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Peter's Friends, hasCharacter, Sarah]
  • A. Sarah
    Sarah is a person closely associated with Jimmy as a trusted friend or partner in a shared cause or context.
  • B. Sarah
    Sarah is a recurring character in the animated television series "Ed, Edd n Eddy," known as Ed's bossy, temperamental younger sister.
  • C. Sarah
    Sarah is the given first name of the actress and comedian Patsy Kelly.
  • D. Sarah
    Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • E. Sarah
    Sarah is the given name of the renowned 19th- and early 20th-century French stage actress Sarah Bernhardt, often called "the Divine Sarah."
  • 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: Sarah
Triple: [Peter's Friends, hasCharacter, Sarah]
Generated description
Sarah is a fictional character from the British ensemble comedy-drama film "Peter's Friends."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah is a fictional character from the British ensemble comedy-drama film "Peter's Friends."
  • A. Sarah chosen
    Sarah is a fictional character from the 1992 British comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
  • B. Sarah
    Sarah is a fictional infant daughter character from the film "Jack & Sarah."
  • C. Sarah
    Sarah is a character associated with the work "Bastard," likely serving as a notable figure within its story.
  • D. Sarah
    Sarah is the given name of Australian actress Sarah Snook, known for her acclaimed role in the television series "Succession."
  • E. Sarah
    Sarah is a fictional character from the musical "Ragtime," representing the struggles and resilience of African Americans in early 20th-century America.
  • F. None of above.

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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2aadd7081908c6343821e8c655c completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8be96c88190ac0e4385260f1960 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f98877788190b9377f06807e3197 completed May 16, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa5e11f88190a615efec01873577 completed May 16, 2026, 11:14 p.m.
Created at: April 16, 2026, 12:38 p.m.