Triple

T11389371
Position Surface form Disambiguated ID Type / Status
Subject Nathaniel Lord Britton E269793 entity
Predicate coAuthor P398 FINISHED
Object Addison Brown
Addison Brown was an American jurist and amateur botanist known for co-authoring influential botanical works with Nathaniel Lord Britton.
 E923457 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: Addison Brown | Statement: [Nathaniel Lord Britton, coAuthor, Addison Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Addison Brown
Context triple: [Nathaniel Lord Britton, coAuthor, Addison Brown]
  • A. Addison Clark
    Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
  • B. Addison Richards
    Addison Richards was an American character actor known for his prolific work in film and early television during the 1930s–1950s.
  • C. Addison Farmer
    Addison Farmer was an American jazz double bassist known for his work in the 1950s and 1960s, including collaborations with prominent bebop and hard bop musicians.
  • D. Madison Epps
    Madison Epps is a daughter of American stand-up comedian and actor Mike Epps.
  • E. Cassidy Bridges
    Cassidy Bridges is a recurring character on the television series "Nash Bridges," known as Nash's daughter who often becomes involved in his personal and professional dramas.
  • 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: Addison Brown
Triple: [Nathaniel Lord Britton, coAuthor, Addison Brown]
Generated description
Addison Brown was an American jurist and amateur botanist known for co-authoring influential botanical works with Nathaniel Lord Britton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Addison Brown
Target entity description: Addison Brown was an American jurist and amateur botanist known for co-authoring influential botanical works with Nathaniel Lord Britton.
  • A. Addison Clark
    Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
  • B. Addison Richards
    Addison Richards was an American character actor known for his prolific work in film and early television during the 1930s–1950s.
  • C. Addison Farmer
    Addison Farmer was an American jazz double bassist known for his work in the 1950s and 1960s, including collaborations with prominent bebop and hard bop musicians.
  • D. Madison Epps
    Madison Epps is a daughter of American stand-up comedian and actor Mike Epps.
  • E. Cassidy Bridges
    Cassidy Bridges is a recurring character on the television series "Nash Bridges," known as Nash's daughter who often becomes involved in his personal and professional dramas.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.