Triple

T16630335
Position Surface form Disambiguated ID Type / Status
Subject Sara Blakely E404061 entity
Predicate givenName P17 FINISHED
Object Sara
Sara is the first name of Sara Blakely, the American entrepreneur and founder of the shapewear company Spanx.
E1227146 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 Blakely, givenName, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara
Context triple: [Sara Blakely, 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 Blakely, givenName, Sara]
Generated description
Sara is the first name of Sara Blakely, the American entrepreneur and founder of the shapewear company Spanx.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara
Target entity description: Sara is the first name of Sara Blakely, the American entrepreneur and founder of the shapewear company Spanx.
  • A. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • B. 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.
  • C. Sara
    Sara is a television host and journalist best known as a co-host of the daytime talk show "The View."
  • D. Sara
    Sara Netanyahu is an Israeli educational psychologist and public figure, best known as the wife of long-serving Prime Minister Benjamin Netanyahu.
  • E. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e4db5081908a6085f1bc2d65b8 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2b3a608190ad8d2b653cd8785d completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b001c988190b0ddec3be0ed6fd0 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008ba8227881908b1ac6e30d2e7c32 completed May 10, 2026, 1:44 p.m.
Created at: April 10, 2026, 5:17 a.m.