Triple

T5531909
Position Surface form Disambiguated ID Type / Status
Subject Ferris Bueller's Day Off E145067 entity
Predicate stars P1956 FINISHED
Object Mia Sara
Mia Sara is an American actress best known for her role as Sloane Peterson in the 1986 teen comedy film "Ferris Bueller's Day Off."
 E535836 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: Mia Sara | Statement: [Ferris Bueller's Day Off, stars, Mia Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mia Sara
Context triple: [Ferris Bueller's Day Off, stars, Mia Sara]
  • A. Sarra Kemp
    Sarra Kemp is the wife of British track cycling champion and multiple Olympic gold medallist Sir Chris Hoy.
  • B. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • C. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • D. Sara
    Sara was the internal codename used by Apple for its Apple III personal computer during development.
  • E. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • 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: Mia Sara
Triple: [Ferris Bueller's Day Off, stars, Mia Sara]
Generated description
Mia Sara is an American actress best known for her role as Sloane Peterson in the 1986 teen comedy film "Ferris Bueller's Day Off."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mia Sara
Target entity description: Mia Sara is an American actress best known for her role as Sloane Peterson in the 1986 teen comedy film "Ferris Bueller's Day Off."
  • A. Sarra Kemp
    Sarra Kemp is the wife of British track cycling champion and multiple Olympic gold medallist Sir Chris Hoy.
  • B. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • C. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • D. Sara
    Sara was the internal codename used by Apple for its Apple III personal computer during development.
  • E. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9d17ec8190b93b12931a4c1b33 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cdccb70819081bfe0e4a56f253f completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:34 p.m.