Triple

T14303987
Position Surface form Disambiguated ID Type / Status
Subject Seryl Kushner E354641 entity
Predicate givenName P17 FINISHED
Object Seryl
Seryl is a feminine given name most notably borne by Seryl Kushner, a New York real estate figure and mother of businessman Charles Kushner.
 E1091661 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: Seryl | Statement: [Seryl Kushner, givenName, Seryl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seryl
Context triple: [Seryl Kushner, givenName, Seryl]
  • A. Serule
    Serule is a village in Botswana that functions as an important railway junction and transport hub in the country’s central region.
  • B. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • C. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • D. Seira
    Seira is one of the islands in Indonesia’s remote Tanimbar archipelago in the Maluku province.
  • E. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • 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: Seryl
Triple: [Seryl Kushner, givenName, Seryl]
Generated description
Seryl is a feminine given name most notably borne by Seryl Kushner, a New York real estate figure and mother of businessman Charles Kushner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seryl
Target entity description: Seryl is a feminine given name most notably borne by Seryl Kushner, a New York real estate figure and mother of businessman Charles Kushner.
  • A. Serule
    Serule is a village in Botswana that functions as an important railway junction and transport hub in the country’s central region.
  • B. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • C. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • D. Seira
    Seira is one of the islands in Indonesia’s remote Tanimbar archipelago in the Maluku province.
  • E. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85afabe48190926d6098047f4bcf completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2a56a4819095b5c2164b1ad9fb completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3edf42788190b50b1144a7de41df completed May 8, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69fd3fbd931081908ba0b1838d9be49c completed May 8, 2026, 1:43 a.m.
Created at: April 10, 2026, 1:12 a.m.