Triple

T17825953
Position Surface form Disambiguated ID Type / Status
Subject Berenguer E445117 entity
Predicate hasVariant P455 FINISHED
Object Berengar
Berengar is a masculine given name of Germanic origin, historically borne by several medieval European nobles and clerics.
E379055 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: Berengar | Statement: [Berenguer, hasVariant, Berengar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berengar
Context triple: [Berenguer, hasVariant, Berengar]
  • A. Henry Berengar
    Henry Berengar was the eldest son and designated heir of King Conrad III of Germany in the 12th century.
  • B. Berengar I of Italy
    Berengar I of Italy was a 9th–10th century Frankish nobleman who became King of Italy and Holy Roman Emperor during a turbulent period of dynastic conflict and invasions.
  • C. Alberic of Francia
    Alberic of Francia was a Frankish nobleman of the early medieval period, known primarily as a member of the aristocratic family that included Bishop Drogo of Metz.
  • D. Siconulf of Salerno
    Siconulf of Salerno was a 9th-century Lombard prince who became the first ruler of the Principality of Salerno after its separation from the Principality of Benevento.
  • E. Rimbert
    Rimbert was a 9th-century Archbishop of Hamburg-Bremen and missionary who succeeded Ansgar and authored his influential biography.
  • 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: Berengar
Triple: [Berenguer, hasVariant, Berengar]
Generated description
Berengar is a masculine given name of Germanic origin, historically borne by several medieval European nobles and clerics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berengar
Target entity description: Berengar is a masculine given name of Germanic origin, historically borne by several medieval European nobles and clerics.
  • A. Henry Berengar
    Henry Berengar was the eldest son and designated heir of King Conrad III of Germany in the 12th century.
  • B. Berengar I of Italy chosen
    Berengar I of Italy was a 9th–10th century Frankish nobleman who became King of Italy and Holy Roman Emperor during a turbulent period of dynastic conflict and invasions.
  • C. Alberic of Francia
    Alberic of Francia was a Frankish nobleman of the early medieval period, known primarily as a member of the aristocratic family that included Bishop Drogo of Metz.
  • D. Siconulf of Salerno
    Siconulf of Salerno was a 9th-century Lombard prince who became the first ruler of the Principality of Salerno after its separation from the Principality of Benevento.
  • E. Rimbert
    Rimbert was a 9th-century Archbishop of Hamburg-Bremen and missionary who succeeded Ansgar and authored his influential biography.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914226c819083edcc78e00b2d42 completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6d07308190bcf6c959204f89a6 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03003084fc8190b7272f7d2e0735d7 completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300e885e481909c76dfbac2fd1009 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.