Triple

T2977336
Position Surface form Disambiguated ID Type / Status
Subject Sheryl Sandberg E80429 entity
Predicate givenName P17 FINISHED
Object Sheryl
Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
 E316517 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: Sheryl | Statement: [Sheryl Sandberg, givenName, Sheryl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sheryl
Context triple: [Sheryl Sandberg, givenName, Sheryl]
  • A. Shirlee
    Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
  • B. Trisha
    Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
  • C. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • D. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • E. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • 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: Sheryl
Triple: [Sheryl Sandberg, givenName, Sheryl]
Generated description
Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sheryl
Target entity description: Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
  • A. Shirlee
    Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
  • B. Trisha
    Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
  • C. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • D. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • E. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998c589c8190b4530f3fb8975187 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1095e85e48190abda38be8ad45599 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b10d2d99ac8190909dd37ccffa4820 completed March 11, 2026, 6:35 a.m.
Created at: March 8, 2026, 2:58 p.m.