Triple

T2537670
Position Surface form Disambiguated ID Type / Status
Subject Stacy Schiff E56306 entity
Predicate givenName P17 FINISHED
Object Stacy
Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
 E274264 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: Stacy | Statement: [Stacy Schiff, givenName, Stacy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stacy
Context triple: [Stacy Schiff, givenName, Stacy]
  • A. Stacy
    Stacy is the birth name of Fergie, the American singer and former member of the Black Eyed Peas.
  • 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. Stacy Ann Ferguson
    Stacy Ann Ferguson, better known by her stage name Fergie, is an American singer, rapper, and songwriter who gained fame as a member of the Black Eyed Peas and as a solo pop artist.
  • D. Molly Stark
    Molly Stark was the wife of American Revolutionary War General John Stark, remembered in part through his famous battle cry invoking her name at the Battle of Bennington.
  • E. Allegra Stratton
    Allegra Stratton is a British journalist and former Downing Street press secretary known for her work in political communications and broadcasting.
  • 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: Stacy
Triple: [Stacy Schiff, givenName, Stacy]
Generated description
Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stacy
Target entity description: Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
  • A. Stacy
    Stacy is the birth name of Fergie, the American singer and former member of the Black Eyed Peas.
  • 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. Stacy Ann Ferguson
    Stacy Ann Ferguson, better known by her stage name Fergie, is an American singer, rapper, and songwriter who gained fame as a member of the Black Eyed Peas and as a solo pop artist.
  • D. Molly Stark
    Molly Stark was the wife of American Revolutionary War General John Stark, remembered in part through his famous battle cry invoking her name at the Battle of Bennington.
  • E. Allegra Stratton
    Allegra Stratton is a British journalist and former Downing Street press secretary known for her work in political communications and broadcasting.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bc0d404819087bc15be297c3dbd completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af4767891c81908aaab1e4cf4f49ef completed March 9, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69af47c5f02c819086390ccafa38f5e3 completed March 9, 2026, 10:20 p.m.
Created at: March 6, 2026, 9:47 p.m.