Triple

T12135494
Position Surface form Disambiguated ID Type / Status
Subject Téa Leoni E289044 entity
Predicate givenName P17 FINISHED
Object Téa
Téa is the distinctive given name of American actress and producer Téa Leoni.
 E966711 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: Téa | Statement: [Téa Leoni, givenName, Téa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Téa
Context triple: [Téa Leoni, givenName, Téa]
  • A. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • B. Kerketeas
    Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
  • C. Tea-Bag
    "Tea-Bag" is a socially conscious novel by Swedish crime writer Henning Mankell that explores immigration, identity, and marginalization in contemporary Europe.
  • D. Tetty
    Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
  • E. Čajetina
    Čajetina is a municipality in western Serbia known as the administrative center of the popular mountain tourist region that includes the Zlatibor resort.
  • 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: Téa
Triple: [Téa Leoni, givenName, Téa]
Generated description
Téa is the distinctive given name of American actress and producer Téa Leoni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Téa
Target entity description: Téa is the distinctive given name of American actress and producer Téa Leoni.
  • A. The Tea
    The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
  • B. Kerketeas
    Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
  • C. Tea-Bag
    "Tea-Bag" is a socially conscious novel by Swedish crime writer Henning Mankell that explores immigration, identity, and marginalization in contemporary Europe.
  • D. Tetty
    Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
  • E. Čajetina
    Čajetina is a municipality in western Serbia known as the administrative center of the popular mountain tourist region that includes the Zlatibor resort.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68eab98819086a480a90312c3fe completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f6023470248190ae9a96d140b28ac1 completed May 2, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:49 p.m.