Triple

T18781033
Position Surface form Disambiguated ID Type / Status
Subject Dialoghi con Leucò E459256 entity
Predicate hasPart P35 FINISHED
Object La madre
La madre is one of the myth-inspired dialogic pieces in Cesare Pavese’s "Dialoghi con Leucò," exploring themes of motherhood, fate, and the human condition through a poetic conversation form.
E1343507 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: La madre | Statement: [Dialoghi con Leucò, hasPart, La madre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La madre
Context triple: [Dialoghi con Leucò, hasPart, La madre]
  • A. La madre
    "La madre" is a novel by Italian Nobel laureate Grazia Deledda that explores themes of maternal love, guilt, and religious morality in a rural Sardinian setting.
  • B. La Madre
    La Madre is a Colombian television drama series featuring María Cecilia Botero in a prominent role.
  • C. La mère
    "La mère" is a notable painting by American realist artist Elizabeth Nourse, recognized for its intimate and empathetic portrayal of motherhood.
  • D. The Mother
    The Mother is the woman who gave birth to and raised André Morisset.
  • E. The Mother
    The Mother is the long-anticipated, pivotal character in the sitcom "How I Met Your Mother," ultimately revealed as Ted Mosby's future wife and the mother of his children.
  • 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: La madre
Triple: [Dialoghi con Leucò, hasPart, La madre]
Generated description
La madre is one of the myth-inspired dialogic pieces in Cesare Pavese’s "Dialoghi con Leucò," exploring themes of motherhood, fate, and the human condition through a poetic conversation form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La madre
Target entity description: La madre is one of the myth-inspired dialogic pieces in Cesare Pavese’s "Dialoghi con Leucò," exploring themes of motherhood, fate, and the human condition through a poetic conversation form.
  • A. La madre
    "La madre" is a novel by Italian Nobel laureate Grazia Deledda that explores themes of maternal love, guilt, and religious morality in a rural Sardinian setting.
  • B. La Madre
    La Madre is a Colombian television drama series featuring María Cecilia Botero in a prominent role.
  • C. La mère
    "La mère" is a notable painting by American realist artist Elizabeth Nourse, recognized for its intimate and empathetic portrayal of motherhood.
  • D. The Mother
    The Mother is the woman who gave birth to and raised André Morisset.
  • E. The Mother
    The Mother, born Mirra Alfassa, was a spiritual collaborator of Sri Aurobindo and a central figure in Integral Yoga, revered as the spiritual head of the Sri Aurobindo Ashram in Pondicherry, India.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933ee89481908b647802961e4519 completed April 20, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0547172c4c81909fc7370aa124c2e1 completed May 14, 2026, 3:52 a.m.
NEDg Description generation batch_6a054a54df1c8190981387ca09193459 completed May 14, 2026, 4:06 a.m.
NED2 Entity disambiguation (via description) batch_6a054b1e79588190b5e50215cecb8029 completed May 14, 2026, 4:10 a.m.
Created at: April 10, 2026, 11:52 a.m.