Triple

T15313517
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle E366096 entity
Predicate hasVariant P455 FINISHED
Object Emanuela
Emanuela is a feminine given name, commonly used in various European and Latin cultures, that is a variant of Emmanuelle and ultimately derived from the Hebrew name Emmanuel.
E1150777 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: Emanuela | Statement: [Emmanuelle, hasVariant, Emanuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emanuela
Context triple: [Emmanuelle, hasVariant, Emanuela]
  • A. Juliane
    Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
  • B. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • C. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • D. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • E. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • 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: Emanuela
Triple: [Emmanuelle, hasVariant, Emanuela]
Generated description
Emanuela is a feminine given name, commonly used in various European and Latin cultures, that is a variant of Emmanuelle and ultimately derived from the Hebrew name Emmanuel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emanuela
Target entity description: Emanuela is a feminine given name, commonly used in various European and Latin cultures, that is a variant of Emmanuelle and ultimately derived from the Hebrew name Emmanuel.
  • A. Juliane
    Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
  • B. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • C. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • D. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • E. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefdb82b2081908084a12a58ad3477 completed May 9, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69fefe6c42708190bd893885fc5bc88e completed May 9, 2026, 9:29 a.m.
Created at: April 10, 2026, 3:16 a.m.