Triple

T6536664
Position Surface form Disambiguated ID Type / Status
Subject Joseph Reed E168180 entity
Predicate hasPartnershipWith P1136 FINISHED
Object Barnes
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
E605722 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: Barnes | Statement: [Joseph Reed, hasPartnershipWith, Barnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnes
Context triple: [Joseph Reed, hasPartnershipWith, Barnes]
  • A. Barnes
    Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
  • B. Barnes
    Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
  • C. Barnes
    Barnes is a notable member of the Human Resistance, recognized for their significant role in opposing an oppressive or antagonistic force.
  • D. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • E. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • 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: Barnes
Triple: [Joseph Reed, hasPartnershipWith, Barnes]
Generated description
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barnes
Target entity description: Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
  • A. Barnes
    Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
  • B. Barnes
    Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
  • C. Barnes
    Barnes is a notable member of the Human Resistance, recognized for their significant role in opposing an oppressive or antagonistic force.
  • D. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • E. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add33acc8190bb0a9531648198f2 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53616848190835d9f02bd8e2dbf completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6dad26481908ac4bc0ed703091b completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d833d84c819083ffc81bda7d35d4 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:49 p.m.