Triple

T3430640
Position Surface form Disambiguated ID Type / Status
Subject Jessica Tandy E72327 entity
Predicate givenName P17 FINISHED
Object Jessie
Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
E356981 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: Jessie | Statement: [Jessica Tandy, givenName, Jessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie
Context triple: [Jessica Tandy, givenName, Jessie]
  • A. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie Ashley
    Jessie Ashley was an early 20th-century American feminist, labor lawyer, and suffrage activist known for her work advancing women’s rights and social justice.
  • C. Jessie Harte
    Jessie Harte was a child of the American author and poet Bret Harte, known primarily in relation to her father's literary legacy.
  • D. Jesse
    Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
  • E. Jesse
    Jesse is the nickname of Jesse Owens, the legendary American track and field athlete who won four gold medals at the 1936 Berlin Olympics.
  • 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: Jessie
Triple: [Jessica Tandy, givenName, Jessie]
Generated description
Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jessie
Target entity description: Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • A. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie Ashley
    Jessie Ashley was an early 20th-century American feminist, labor lawyer, and suffrage activist known for her work advancing women’s rights and social justice.
  • C. Jessie Harte
    Jessie Harte was a child of the American author and poet Bret Harte, known primarily in relation to her father's literary legacy.
  • D. Jesse
    Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
  • E. Jesse
    Jesse is the nickname of Jesse Owens, the legendary American track and field athlete who won four gold medals at the 1936 Berlin Olympics.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9bd61908190a7bdd01f24334fc3 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547b1b3481909646bf36e8461ff4 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b35547a9a881909d754625806cff2a completed March 13, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69b355efa89c8190bf9b2eb3c41257b3 completed March 13, 2026, 12:10 a.m.
Created at: March 8, 2026, 3:15 p.m.