Triple
T7850383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Mazzantini |
E182034
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Manola
Manola is a literary work by Italian author Margaret Mazzantini, known for its introspective and emotionally charged exploration of human relationships.
|
E699969
|
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: Manola | Statement: [Margaret Mazzantini, notableWork, Manola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manola Context triple: [Margaret Mazzantini, notableWork, Manola]
-
A.
Paloma
Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
-
B.
Paloma
Paloma is a popular Mexican tequila-based cocktail typically made with grapefruit soda or juice and lime, known for its refreshing, citrusy flavor.
-
C.
Carmen Polo
Carmen Polo was a Spanish noblewoman best known as the wife of dictator Francisco Franco and a prominent figure in Francoist Spain’s social and political elite.
-
D.
Alfonsa
Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
-
E.
Martine
Martine is a feminine given name commonly used in French- and English-speaking countries.
- 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: Manola Triple: [Margaret Mazzantini, notableWork, Manola]
Generated description
Manola is a literary work by Italian author Margaret Mazzantini, known for its introspective and emotionally charged exploration of human relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manola Target entity description: Manola is a literary work by Italian author Margaret Mazzantini, known for its introspective and emotionally charged exploration of human relationships.
-
A.
Paloma
Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
-
B.
Paloma
Paloma is a popular Mexican tequila-based cocktail typically made with grapefruit soda or juice and lime, known for its refreshing, citrusy flavor.
-
C.
Carmen Polo
Carmen Polo was a Spanish noblewoman best known as the wife of dictator Francisco Franco and a prominent figure in Francoist Spain’s social and political elite.
-
D.
Alfonsa
Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
-
E.
Martine
Martine is a feminine given name commonly used in French- and English-speaking countries.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0d95748190a202258214dda2ae |
completed | March 31, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69cb762eab0881909c5035b3086dfdd9 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb801cc0c8190864d28e199eb5e67 |
completed | March 31, 2026, 12:03 p.m. |
Created at: March 30, 2026, 4:50 p.m.