Triple

T7599870
Position Surface form Disambiguated ID Type / Status
Subject Lady Rachel Russell E179954 entity
Predicate familyName P18 FINISHED
Object Russell
Russell is a prominent English surname historically associated with influential aristocratic and political families in Britain.
E674629 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: Russell | Statement: [Lady Rachel Russell, familyName, Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell
Context triple: [Lady Rachel Russell, familyName, Russell]
  • A. Russell
    Russell is a rural municipality in eastern Ontario, Canada, known for its bilingual (English and French) community and proximity to Ottawa.
  • B. Russell
    Russell is a locality in Canberra, Australia, known primarily as a major government and defence precinct housing key national security and administrative offices.
  • C. Russell
    Russell is the enthusiastic young Wilderness Explorer who befriends elderly widower Carl Fredricksen in Pixar's animated film "Up."
  • D. Russell
    Russell is a sharp-tongued, wisecracking young member of the Junkyard Gang in the animated series "Fat Albert and the Cosby Kids."
  • E. Russell
    Russell is the middle name of British television writer and producer Stephen Russell Davies, better known as Russell T Davies.
  • 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: Russell
Triple: [Lady Rachel Russell, familyName, Russell]
Generated description
Russell is a prominent English surname historically associated with influential aristocratic and political families in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Russell
Target entity description: Russell is a prominent English surname historically associated with influential aristocratic and political families in Britain.
  • A. Russell
    Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
  • B. Russell
    Russell is a masculine given name of Old French and Anglo-Norman origin, commonly used in English-speaking countries.
  • C. Russell
    Russell is the middle name of British television writer and producer Stephen Russell Davies, better known as Russell T Davies.
  • D. Russell
    Russell is a rural municipality in eastern Ontario, Canada, known for its bilingual (English and French) community and proximity to Ottawa.
  • E. Russell
    Russell is a historic coastal town in New Zealand known as one of the country’s earliest European settlements and a popular tourist destination in the Bay of Islands.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d7cb288190b40ff5c9a09297d9 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861ad08bc8190b3fc22109579a47d completed March 28, 2026, 11:18 p.m.
NEDg Description generation batch_69c86239eb348190b5a0b83d280000e2 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862a2f6808190942a22bf93994408 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.