Triple
T13342390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Lasenby Liberty |
E317857
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Liberty
Liberty is a surname most notably associated with Arthur Lasenby Liberty, the founder of the iconic London department store Liberty & Co.
|
E1036093
|
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: Liberty | Statement: [Arthur Lasenby Liberty, familyName, Liberty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liberty Context triple: [Arthur Lasenby Liberty, familyName, Liberty]
-
A.
Liberty
Liberty is a city in Clay County, Missouri, known as a suburb of Kansas City and the county seat.
-
B.
Liberty
Liberty is a small borough in Allegheny County, Pennsylvania, within the Pittsburgh metropolitan area.
-
C.
Liberty
Liberty is a 1990 studio album by English new wave band Duran Duran that marked a stylistic transition period for the group.
-
D.
Liberty
Liberty is a feminine given name often associated with the concept of freedom and used in various English-speaking cultures.
-
E.
Liberty
Liberty is a seminal collection of political essays by Isaiah Berlin that explores the concepts of negative and positive freedom and their implications for liberal thought.
- 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: Liberty Triple: [Arthur Lasenby Liberty, familyName, Liberty]
Generated description
Liberty is a surname most notably associated with Arthur Lasenby Liberty, the founder of the iconic London department store Liberty & Co.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liberty Target entity description: Liberty is a surname most notably associated with Arthur Lasenby Liberty, the founder of the iconic London department store Liberty & Co.
-
A.
Liberty
Liberty is a famous London department store known for its distinctive mock-Tudor building and focus on luxury goods, especially fabrics and design.
-
B.
Liberty
Liberty is a feminine given name often associated with the concept of freedom and used in various English-speaking cultures.
-
C.
Liberty
Liberty is the abstract ideal of personal and political freedom, often personified as a female figure symbolizing independence and human rights.
-
D.
Liberty
Liberty is a seminal collection of political essays by Isaiah Berlin that explores the concepts of negative and positive freedom and their implications for liberal thought.
-
E.
Liberty
Liberty is a small borough in Allegheny County, Pennsylvania, within the Pittsburgh metropolitan area.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d0379d481909a50fff31b19fed1 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726738ea08190b0b7634b29f5d94e |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f7270bf9308190a3e9427ffce0e3ee |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 9, 2026, 9:31 p.m.