Triple

T11254935
Position Surface form Disambiguated ID Type / Status
Subject Sara Netanyahu E266413 entity
Predicate givenName P17 FINISHED
Object Sara
Sara Netanyahu is an Israeli educational psychologist and public figure, best known as the wife of long-serving Prime Minister Benjamin Netanyahu.
 E916003 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 Netanyahu, givenName, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara
Context triple: [Sara Netanyahu, givenName, Sara]
  • A. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • B. Sara
    Sara was the internal codename used by Apple for its Apple III personal computer during development.
  • C. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • D. Sara
    "Sara" is a novel by Nicaraguan writer and former vice president Sergio Ramírez, known for its literary exploration of Central American life and identity.
  • E. Sara
    Sara is a skilled warrior and love interest of the Huntsman in the fantasy film "The Huntsman: Winter’s War."
  • 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 Netanyahu, givenName, Sara]
Generated description
Sara Netanyahu is an Israeli educational psychologist and public figure, best known as the wife of long-serving Prime Minister Benjamin Netanyahu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara
Target entity description: Sara Netanyahu is an Israeli educational psychologist and public figure, best known as the wife of long-serving Prime Minister Benjamin Netanyahu.
  • 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 a novel by Nicaraguan writer and former vice president Sergio Ramírez, known for its literary exploration of Central American life and identity.
  • C. Sara
    Sara is a skilled warrior and love interest of the Huntsman in the fantasy film "The Huntsman: Winter’s War."
  • D. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9346f4c8190b29c2cf3a29cd1d1 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
NEDg Description generation batch_69e4f7dbfafc8190afa1e9fe67f1296e completed April 19, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff4645948190a2bfcc3a4efd8e2a completed April 19, 2026, 4:13 p.m.
Created at: April 8, 2026, 9:31 p.m.