Triple

T3349683
Position Surface form Disambiguated ID Type / Status
Subject Clara Barton E70459 entity
Predicate givenName P17 FINISHED
Object Clarissa
Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
E350508 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: Clarissa | Statement: [Clara Barton, givenName, Clarissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarissa
Context triple: [Clara Barton, givenName, Clarissa]
  • A. Pamela
    Pamela is the given name of Pam Grier, the pioneering American actress celebrated for her iconic roles in 1970s blaxploitation films and later works like "Jackie Brown."
  • B. Marianne
    Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
  • C. Fanny Eden
    Fanny Eden was a member of the British Eden family in colonial India, after whom the famous cricket ground Eden Gardens in Kolkata was named.
  • D. Charlotte Frank
    Charlotte Frank is a German architect known for her work on the Federal Chancellery building in Berlin.
  • E. Celia
    Celia is a 2020 Afrobeats and R&B studio album by Nigerian singer Tiwa Savage that blends contemporary African pop with global influences.
  • 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: Clarissa
Triple: [Clara Barton, givenName, Clarissa]
Generated description
Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clarissa
Target entity description: Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
  • A. Pamela
    Pamela is the given name of Pam Grier, the pioneering American actress celebrated for her iconic roles in 1970s blaxploitation films and later works like "Jackie Brown."
  • B. Marianne
    Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
  • C. Fanny Eden
    Fanny Eden was a member of the British Eden family in colonial India, after whom the famous cricket ground Eden Gardens in Kolkata was named.
  • D. Charlotte Frank
    Charlotte Frank is a German architect known for her work on the Federal Chancellery building in Berlin.
  • E. Celia
    Celia is a 2020 Afrobeats and R&B studio album by Nigerian singer Tiwa Savage that blends contemporary African pop with global influences.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21f3ae48190a33530712da01bc3 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252adb9c8190b053c8da0c0488a3 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b32625069c8190a77e6bbc27898f58 completed March 12, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69b326a3cb5c8190a0d0c9d0a0e9b7d3 completed March 12, 2026, 8:48 p.m.
Created at: March 8, 2026, 3:12 p.m.