Triple

T16046983
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Stamatina Fey E389246 entity
Predicate hasGivenName P17 FINISHED
Object Elizabeth
Elizabeth is the given name of Elizabeth Stamatina "Tina" Fey, the American comedian, writer, actress, and producer.
E389246 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: Elizabeth | Statement: [Elizabeth Stamatina Fey, hasGivenName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Elizabeth Stamatina Fey, hasGivenName, Elizabeth]
  • A. Elizabeth
    Elizabeth is the middle name of Diane Elizabeth Dern, an individual likely known in relation to the Dern family.
  • B. Elizabeth
    Elizabeth is the birth name of American actress and singer Betty Hutton, a popular Hollywood star of the 1940s and 1950s.
  • C. Elizabeth
    Elizabeth is the middle name of Princess Beatrice of York, a member of the British royal family.
  • D. Elizabeth
    Elizabeth is the full given name of Betsy McCaughey, an American politician, writer, and former lieutenant governor of New York.
  • E. Elizabeth
    Elizabeth is the given first name of American actress Bess Armstrong, known for her work in film and television since the late 1970s.
  • 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: Elizabeth
Triple: [Elizabeth Stamatina Fey, hasGivenName, Elizabeth]
Generated description
Elizabeth is the given name of Elizabeth Stamatina "Tina" Fey, the American comedian, writer, actress, and producer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Target entity description: Elizabeth is the given name of Elizabeth Stamatina "Tina" Fey, the American comedian, writer, actress, and producer.
  • A. Elizabeth chosen
    Elizabeth is the birth name of American comedian, writer, and actress Tina Fey, known for her work on "Saturday Night Live" and "30 Rock."
  • B. Elizabeth
    Elizabeth is the birth name of American actress and comedian Ellie Kemper, known for her roles in "The Office" and "Unbreakable Kimmy Schmidt."
  • C. Elizabeth
    Elizabeth is the full first name of Liz Lemon, the fictional television writer and main character from the comedy series "30 Rock."
  • D. Elizabeth
    Elizabeth is the birth name of American actress Téa Leoni, known for her roles in film and television such as "Madam Secretary."
  • E. Elizabeth
    Elizabeth is the birth name of American actress and television host Busy Philipps, known for her roles in series like "Freaks and Geeks" and "Dawson's Creek."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835eda348190aff492f0ff668cce completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdc915be88190a0e949fcee608242 completed May 10, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd17239c8190a3c0c4d146a279f7 completed May 10, 2026, 1:19 a.m.
Created at: April 10, 2026, 4:56 a.m.