Triple

T819547
Position Surface form Disambiguated ID Type / Status
Subject Margaret E17722 entity
Predicate hasShortForm P43 FINISHED
Object Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
E114897 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: Greta | Statement: [Margaret, hasShortForm, Greta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta
Context triple: [Margaret, hasShortForm, Greta]
  • A. Greta
    Greta is a small town located within the Hunter Region of New South Wales, Australia.
  • B. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • C. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • D. Thunberg
    Thunberg is a Swedish surname most prominently associated today with climate activist Greta Thunberg and her family of performers and writers.
  • E. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • 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: Greta
Triple: [Margaret, hasShortForm, Greta]
Generated description
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Greta
Target entity description: Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
  • A. Greta
    Greta is a small town located within the Hunter Region of New South Wales, Australia.
  • B. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • C. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • D. Thunberg
    Thunberg is a Swedish surname most prominently associated today with climate activist Greta Thunberg and her family of performers and writers.
  • E. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab656418819091ecb09e7ede2825 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f56bc0819094085d61f1f29f70 completed March 7, 2026, 12:15 p.m.
NEDg Description generation batch_69ac1841a6188190bca3ab98eb169d47 completed March 7, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69ac18afee148190ac7431327588c31b completed March 7, 2026, 12:23 p.m.
Created at: March 1, 2026, 7:38 p.m.