Triple

T12059724
Position Surface form Disambiguated ID Type / Status
Subject Beatrix Farrand E287135 entity
Predicate familyName P18 FINISHED
Object Farrand
Farrand is the surname of Beatrix Farrand, a pioneering American landscape architect known for designing gardens at estates, universities, and public institutions in the late 19th and early 20th centuries.
 E964179 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: Farrand | Statement: [Beatrix Farrand, familyName, Farrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farrand
Context triple: [Beatrix Farrand, familyName, Farrand]
  • A. Friedrichs
    Friedrichs is a German surname derived from the given name Friedrich, typically meaning "son or descendant of Friedrich."
  • B. Rutledge
    Rutledge is a small town in eastern Tennessee that serves as the county seat of Grainger County within the Knoxville metropolitan area.
  • C. Rutledge
    Rutledge is a surname of English and Scottish origin borne by various notable individuals in politics, law, and other fields.
  • D. Rutledge
    Rutledge is a small town located in Crenshaw County in the southern part of the U.S. state of Alabama.
  • E. Quigley
    Quigley is a surname most notably associated with American politician Mike Quigley, a U.S. Representative from Illinois.
  • 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: Farrand
Triple: [Beatrix Farrand, familyName, Farrand]
Generated description
Farrand is the surname of Beatrix Farrand, a pioneering American landscape architect known for designing gardens at estates, universities, and public institutions in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farrand
Target entity description: Farrand is the surname of Beatrix Farrand, a pioneering American landscape architect known for designing gardens at estates, universities, and public institutions in the late 19th and early 20th centuries.
  • A. Friedrichs
    Friedrichs is a German surname derived from the given name Friedrich, typically meaning "son or descendant of Friedrich."
  • B. Rutledge
    Rutledge is a small town in eastern Tennessee that serves as the county seat of Grainger County within the Knoxville metropolitan area.
  • C. Rutledge
    Rutledge is a surname of English and Scottish origin borne by various notable individuals in politics, law, and other fields.
  • D. Rutledge
    Rutledge is a small town located in Crenshaw County in the southern part of the U.S. state of Alabama.
  • E. Quigley
    Quigley is a surname most notably associated with American politician Mike Quigley, a U.S. Representative from Illinois.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f651641c8190bfd1d4d228a36209 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5ff815b748190932bfe163ea2847d completed May 2, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60185ce8c8190abe3b1f633aac55d completed May 2, 2026, 1:52 p.m.
Created at: April 8, 2026, 9:47 p.m.