Triple

T15640471
Position Surface form Disambiguated ID Type / Status
Subject Bertha of Kent E376051 entity
Predicate mother P120 FINISHED
Object Ingoberga
Ingoberga was a Frankish noblewoman, wife of King Charibert I of the Merovingian dynasty and mother of Bertha of Kent, whose marriage helped pave the way for the Christianization of Anglo-Saxon England.
E1168504 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: Ingoberga | Statement: [Bertha of Kent, mother, Ingoberga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingoberga
Context triple: [Bertha of Kent, mother, Ingoberga]
  • A. Merania
    Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Buariki
    Buariki is a village on the atoll of Aranuka in the island nation of Kiribati.
  • D. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • E. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • 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: Ingoberga
Triple: [Bertha of Kent, mother, Ingoberga]
Generated description
Ingoberga was a Frankish noblewoman, wife of King Charibert I of the Merovingian dynasty and mother of Bertha of Kent, whose marriage helped pave the way for the Christianization of Anglo-Saxon England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ingoberga
Target entity description: Ingoberga was a Frankish noblewoman, wife of King Charibert I of the Merovingian dynasty and mother of Bertha of Kent, whose marriage helped pave the way for the Christianization of Anglo-Saxon England.
  • A. Merania
    Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Buariki
    Buariki is a village on the atoll of Aranuka in the island nation of Kiribati.
  • D. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • E. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed06b388190bfebb77fe70e7df1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4b693c81908fd324a5e92fc23c completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff612f54a48190a392a3712db4c907 completed May 9, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff61fbcad481908af89369458b23ca completed May 9, 2026, 4:34 p.m.
Created at: April 10, 2026, 4:15 a.m.