Triple

T2098380
Position Surface form Disambiguated ID Type / Status
Subject Beata Ernman-Thunberg E37034 entity
Predicate hasGivenName P17 FINISHED
Object Beata
Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
 E234915 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: Beata | Statement: [Beata Ernman-Thunberg, hasGivenName, Beata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beata
Context triple: [Beata Ernman-Thunberg, hasGivenName, Beata]
  • A. Beata Beatrix
    Beata Beatrix is a celebrated painting by Dante Gabriel Rossetti that portrays a trance-like Beatrice and exemplifies the spiritual, symbolic style of the Pre-Raphaelite movement.
  • B. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • C. Magda
    Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • D. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • E. Violetta Helena Krakowska
    Violetta Helena Krakowska was a spouse of a member of the extended Einstein family, connected by marriage to the lineage of physicist Albert Einstein.
  • 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: Beata
Triple: [Beata Ernman-Thunberg, hasGivenName, Beata]
Generated description
Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beata
Target entity description: Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • A. Beata Beatrix
    Beata Beatrix is a celebrated painting by Dante Gabriel Rossetti that portrays a trance-like Beatrice and exemplifies the spiritual, symbolic style of the Pre-Raphaelite movement.
  • B. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • C. Magda
    Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • D. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • E. Violetta Helena Krakowska
    Violetta Helena Krakowska was a spouse of a member of the extended Einstein family, connected by marriage to the lineage of physicist Albert Einstein.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9de75c81909770409b5ae62c24 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306386588190a1013c32a9b8e0c1 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30e0411c81908cd19bf8d3525056 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae31871d408190a4ae64372660fa79 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.