Triple

T1995254
Position Surface form Disambiguated ID Type / Status
Subject Linda Christian E43343 entity
Predicate familyName P18 FINISHED
Object Welter
Welter is the surname of Mexican film actress Linda Christian, known as the first "Bond girl" in the 1954 television adaptation of Casino Royale.
E223710 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: Welter | Statement: [Linda Christian, familyName, Welter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welter
Context triple: [Linda Christian, familyName, Welter]
  • A. Wyoma
    Wyoma is a residential neighborhood located within the city of Lynn in northeastern Massachusetts.
  • B. Duro
    Duro is a music artist known for creating the track featured in the song "Glitter."
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Rockwood
    Rockwood is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • E. Waldomore
    Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the 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: Welter
Triple: [Linda Christian, familyName, Welter]
Generated description
Welter is the surname of Mexican film actress Linda Christian, known as the first "Bond girl" in the 1954 television adaptation of Casino Royale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Welter
Target entity description: Welter is the surname of Mexican film actress Linda Christian, known as the first "Bond girl" in the 1954 television adaptation of Casino Royale.
  • A. Wyoma
    Wyoma is a residential neighborhood located within the city of Lynn in northeastern Massachusetts.
  • B. Duro
    Duro is a music artist known for creating the track featured in the song "Glitter."
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Rockwood
    Rockwood is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • E. Waldomore
    Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86537748190a2b5e3fd44ac6430 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033c6cf88190acf6418f0d784914 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03c4faac8190a13aa0882eda3629 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0445a9608190918a7bd45b9bf999 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.