Triple

T14348831
Position Surface form Disambiguated ID Type / Status
Subject Chasing Liberty E355797 entity
Predicate character P662 FINISHED
Object Michelle Foster
Michelle Foster is a fictional character from the romantic comedy film "Chasing Liberty," which follows the adventures of the rebellious daughter of the U.S. President.
E1256694 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: Michelle Foster | Statement: [Chasing Liberty, character, Michelle Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Foster
Context triple: [Chasing Liberty, character, Michelle Foster]
  • A. Michelle Fowler
    Michelle Fowler is a long-running fictional character from the British soap opera "EastEnders," known as a member of the Beale family and for several major storylines since the show's early years.
  • B. Mary Beth Johnson
    Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
  • C. Mary Beth Hughes
    Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
  • D. Julie Ferguson
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • E. Lisa Stewart
    Lisa Stewart is a film producer best known for her work on the acclaimed coming-of-age movie "Almost Famous."
  • 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: Michelle Foster
Triple: [Chasing Liberty, character, Michelle Foster]
Generated description
Michelle Foster is a fictional character from the romantic comedy film "Chasing Liberty," which follows the adventures of the rebellious daughter of the U.S. President.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michelle Foster
Target entity description: Michelle Foster is a fictional character from the romantic comedy film "Chasing Liberty," which follows the adventures of the rebellious daughter of the U.S. President.
  • A. Michelle Fowler
    Michelle Fowler is a long-running fictional character from the British soap opera "EastEnders," known as a member of the Beale family and for several major storylines since the show's early years.
  • B. Mary Beth Johnson
    Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
  • C. Mary Beth Hughes
    Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
  • D. Julie Ferguson
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • E. Lisa Stewart
    Lisa Stewart is a film producer best known for her work on the acclaimed coming-of-age movie "Almost Famous."
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
NEDg Description generation batch_6a0161b31540819098aa6275f96433ad completed May 11, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a016299d9ac8190be74d5db0d28ea36 completed May 11, 2026, 5:01 a.m.
Created at: April 10, 2026, 1:14 a.m.