Triple

T7850399
Position Surface form Disambiguated ID Type / Status
Subject Margaret Mazzantini E182034 entity
Predicate wrote P2831 FINISHED
Object Manola E699969 NE FINISHED

How this triple was built (2 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, wrote, Manola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manola
Context triple: [Margaret Mazzantini, wrote, Manola]
  • A. Manola chosen
    Manola is a literary work by Italian author Margaret Mazzantini, known for its introspective and emotionally charged exploration of human relationships.
  • B. Paloma
    Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
  • C. Paloma
    Paloma is a popular Mexican tequila-based cocktail typically made with grapefruit soda or juice and lime, known for its refreshing, citrusy flavor.
  • D. Paloma Herrera
    Paloma Herrera is an acclaimed Argentine ballet dancer renowned as one of the leading principal ballerinas of the late 20th and early 21st centuries.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69cbdf1834b08190ab9fd79387e496a7 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:50 p.m.