Triple

T13301961
Position Surface form Disambiguated ID Type / Status
Subject Thilde Benz E316833 entity
Predicate givenName P17 FINISHED
Object Thilde
Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
 E1032251 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: Thilde | Statement: [Thilde Benz, givenName, Thilde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thilde
Context triple: [Thilde Benz, givenName, Thilde]
  • A. Hjördis
    Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
  • B. Thjodhild
    Thjodhild was a Norse woman of the Viking Age, best known as one of the earliest Christian converts in Greenland and for building the first church there.
  • C. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • D. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • E. Ulrika
    Ulrika is a central character in the Swedish musical "Kristina från Duvemåla," known as a strong-willed and controversial woman whose life intertwines with the emigrant community.
  • 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: Thilde
Triple: [Thilde Benz, givenName, Thilde]
Generated description
Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thilde
Target entity description: Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
  • A. Hjördis
    Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
  • B. Thjodhild
    Thjodhild was a Norse woman of the Viking Age, best known as one of the earliest Christian converts in Greenland and for building the first church there.
  • C. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • D. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • E. Ulrika
    Ulrika is a central character in the Swedish musical "Kristina från Duvemåla," known as a strong-willed and controversial woman whose life intertwines with the emigrant community.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716df8c2c8190bd17b47848546271 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177f2270819098426a269032ea1c completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f7184c55108190a4d60a5bf4bd2208 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:28 p.m.