Triple

T69874
Position Surface form Disambiguated ID Type / Status
Subject Samuel Gompers E1397 entity
Predicate spouse P13 FINISHED
Object Sophia Julian
Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
E23261 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: Sophia Julian | Statement: [Samuel Gompers, spouse, Sophia Julian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia Julian
Context triple: [Samuel Gompers, spouse, Sophia Julian]
  • A. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • B. Anastasia Shubskaya
    Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
  • C. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Katherine Oppenheimer
    Katherine Oppenheimer was an American biologist and former Communist Party member best known as the politically controversial wife of physicist J. Robert Oppenheimer during the Manhattan Project era.
  • 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: Sophia Julian
Triple: [Samuel Gompers, spouse, Sophia Julian]
Generated description
Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sophia Julian
Target entity description: Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
  • A. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • B. Anastasia Shubskaya
    Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
  • C. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Katherine Oppenheimer
    Katherine Oppenheimer was an American biologist and former Communist Party member best known as the politically controversial wife of physicist J. Robert Oppenheimer during the Manhattan Project era.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f045d38819088f5f71e39fa1ee7 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fcfeaae88190987696a6a6dafe12 completed Feb. 28, 2026, 2:34 p.m.
NEDg Description generation batch_69a2fd4d08588190b5a7c5ca435bac42 completed Feb. 28, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69a2fdfceb20819097ee6c75234bd252 completed Feb. 28, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 2:03 a.m.