Triple

T18206989
Position Surface form Disambiguated ID Type / Status
Subject Those Barren Leaves E435928 entity
Predicate mainCharacter P1183 FINISHED
Object Calamy
Calamy is the protagonist of Aldous Huxley’s novel "Those Barren Leaves," around whom the book’s social and philosophical explorations revolve.
 E1311981 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: Calamy | Statement: [Those Barren Leaves, mainCharacter, Calamy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Calamy
Context triple: [Those Barren Leaves, mainCharacter, Calamy]
  • A. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • B. Count of Saint-Pol
    Count of Saint-Pol was a French noble title historically associated with prominent aristocratic families, including the House of Orléans-Longueville.
  • C. Moreau
    Moreau is a town in Saratoga County, New York, known for its residential communities and proximity to natural and recreational areas such as Moreau Lake State Park.
  • D. Moreau
    Moreau is a French surname most famously associated with the 19th-century Symbolist painter Gustave Moreau.
  • E. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • 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: Calamy
Triple: [Those Barren Leaves, mainCharacter, Calamy]
Generated description
Calamy is the protagonist of Aldous Huxley’s novel "Those Barren Leaves," around whom the book’s social and philosophical explorations revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Calamy
Target entity description: Calamy is the protagonist of Aldous Huxley’s novel "Those Barren Leaves," around whom the book’s social and philosophical explorations revolve.
  • A. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • B. Count of Saint-Pol
    Count of Saint-Pol was a French noble title historically associated with prominent aristocratic families, including the House of Orléans-Longueville.
  • C. Moreau
    Moreau is a town in Saratoga County, New York, known for its residential communities and proximity to natural and recreational areas such as Moreau Lake State Park.
  • D. Moreau
    Moreau is a French surname most famously associated with the 19th-century Symbolist painter Gustave Moreau.
  • E. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2243de081908a5bcc7e2072eae7 completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f10036c8190a1537632a19f0e23 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039febd13881908423ee008d3ba1c3 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a088b4a0819093720af0308060ee completed May 12, 2026, 9:50 p.m.
Created at: April 10, 2026, 10:32 a.m.