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.