Triple

T22401796
Position Surface form Disambiguated ID Type / Status
Subject Sara Carbonero E553778 entity
Predicate givenName P17 FINISHED
Object Sara
Sara is a Spanish sports journalist and television presenter best known for her work covering football and her high-profile public presence.
E1533993 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: Sara | Statement: [Sara Carbonero, givenName, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara
Context triple: [Sara Carbonero, givenName, Sara]
  • A. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • B. Sara
    "Sara" is a soft rock song by Fleetwood Mac, written and sung by Stevie Nicks, known for its dreamy lyrics and prominent place on their 1979 album *Tusk*.
  • C. Sara
    Sara is the imaginative and resilient young heroine of Frances Hodgson Burnett’s classic children’s novel "A Little Princess."
  • D. Sara
    Sara is the central protagonist of the film "Runaway Train," around whom the story’s dramatic events and emotional stakes revolve.
  • E. Sara
    Sara is the central female protagonist of the Italian film "L’uomo che ama," around whom the story’s emotional and relational conflicts revolve.
  • 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: Sara
Triple: [Sara Carbonero, givenName, Sara]
Generated description
Sara is a Spanish sports journalist and television presenter best known for her work covering football and her high-profile public presence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara
Target entity description: Sara is a Spanish sports journalist and television presenter best known for her work covering football and her high-profile public presence.
  • A. Sara
    Sara is a television host and journalist best known as a co-host of the daytime talk show "The View."
  • B. Sara
    Sara is the first name of Sara Blakely, the American entrepreneur and founder of the shapewear company Spanx.
  • C. Sara
    Sara is the given name of the Irish stage and film actress Sara Allgood, known for her work in early 20th-century theatre and cinema.
  • D. Sara
    Sara is the given name of American actress and singer Sara Paxton, known for her roles in film and television.
  • E. Sara
    Sara is the given name of Sara Duterte, a prominent Filipino politician and former mayor of Davao City who has served as Vice President of the Philippines.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cd35648190a37c9814c581749e completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea9aad5c81908fca5ea2b594effb completed May 18, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb5137c08190b5b787c85f239a67 completed May 18, 2026, 10:34 a.m.
Created at: April 16, 2026, 8:46 p.m.