Triple

T849282
Position Surface form Disambiguated ID Type / Status
Subject Aldous Huxley E18347 entity
Predicate givenName P17 FINISHED
Object Aldous
Aldous is a masculine given name most famously borne by the English writer and philosopher Aldous Huxley.
 E99332 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: Aldous | Statement: [Aldous Huxley, givenName, Aldous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aldous
Context triple: [Aldous Huxley, givenName, Aldous]
  • A. Laurence
    Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • B. Ryle
    Ryle is a surname most notably associated with Gilbert Ryle, a 20th-century British philosopher known for his critique of Cartesian dualism and the concept of the "ghost in the machine."
  • C. Graham
    Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
  • D. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • E. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • 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: Aldous
Triple: [Aldous Huxley, givenName, Aldous]
Generated description
Aldous is a masculine given name most famously borne by the English writer and philosopher Aldous Huxley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aldous
Target entity description: Aldous is a masculine given name most famously borne by the English writer and philosopher Aldous Huxley.
  • A. Laurence
    Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • B. Ryle
    Ryle is a surname most notably associated with Gilbert Ryle, a 20th-century British philosopher known for his critique of Cartesian dualism and the concept of the "ghost in the machine."
  • C. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • D. Graham
    Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
  • E. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac1fac3481909cba7070ce31a9b3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a0666c8190bfc9166d45b4e867 completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a793563cc881909381f898f240c0bd completed March 4, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69a7941add588190913198a7f7b20943 completed March 4, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:38 p.m.