Triple

T12888669
Position Surface form Disambiguated ID Type / Status
Subject Felice Bryant E308299 entity
Predicate nickname P55 FINISHED
Object Felice
Felice is the nickname of Felice Bryant, an American songwriter best known for co-writing numerous hit songs with her husband Boudleaux Bryant.
 E1009214 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: Felice | Statement: [Felice Bryant, nickname, Felice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Felice
Context triple: [Felice Bryant, nickname, Felice]
  • A. Felice
    Felice is a comic character from the classic French farce "Il cappello di paglia di Firenze" (The Florentine Straw Hat), typically involved in the play’s intricate misunderstandings and humorous situations.
  • B. Felici
    Felici is an Italian surname associated with figures such as Cardinal Pericle Felici, a prominent 20th-century prelate of the Catholic Church.
  • C. Felix
    Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
  • D. Felicio
    Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • E. Frieda
    Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • 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: Felice
Triple: [Felice Bryant, nickname, Felice]
Generated description
Felice is the nickname of Felice Bryant, an American songwriter best known for co-writing numerous hit songs with her husband Boudleaux Bryant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Felice
Target entity description: Felice is the nickname of Felice Bryant, an American songwriter best known for co-writing numerous hit songs with her husband Boudleaux Bryant.
  • A. Felice
    Felice is a comic character from the classic French farce "Il cappello di paglia di Firenze" (The Florentine Straw Hat), typically involved in the play’s intricate misunderstandings and humorous situations.
  • B. Felici
    Felici is an Italian surname associated with figures such as Cardinal Pericle Felici, a prominent 20th-century prelate of the Catholic Church.
  • C. Felix
    Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
  • D. Felicio
    Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • E. Frieda
    Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5598ad08190bad57ccfb4e4e2b6 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a62ca8b48190b3a1483801fe5bb9 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a82cdf648190aaad99d2951f22b3 completed May 3, 2026, 1:43 a.m.
Created at: April 9, 2026, 5:39 p.m.