Triple

T2231645
Position Surface form Disambiguated ID Type / Status
Subject Aegon E48778 entity
Predicate formedByMergerOf P77 FINISHED
Object Ennia
Ennia was a former Dutch insurance company that later became part of Aegon through a merger.
 E248271 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: Ennia | Statement: [Aegon, formedByMergerOf, Ennia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ennia
Context triple: [Aegon, formedByMergerOf, Ennia]
  • A. Ennia
    Ennia is a historical figure known as the founder of the ancient city of Aegon.
  • B. Enna
    Enna is a historic hilltop city in central Sicily, Italy, known for its elevated position and panoramic views over the island.
  • C. Enide
    Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • D. Neraudia
    Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
  • E. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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: Ennia
Triple: [Aegon, formedByMergerOf, Ennia]
Generated description
Ennia was a former Dutch insurance company that later became part of Aegon through a merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ennia
Target entity description: Ennia was a former Dutch insurance company that later became part of Aegon through a merger.
  • A. Ennia
    Ennia is a historical figure known as the founder of the ancient city of Aegon.
  • B. Enna
    Enna is a historic hilltop city in central Sicily, Italy, known for its elevated position and panoramic views over the island.
  • C. Enide
    Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • D. Neraudia
    Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
  • E. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc06b7374819089fe643e12797bfd completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b001ee481909b28aea25ad7b906 completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6bbba3908190b24b6e29175cc449 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c5f6364819085aed383ab0ff8c5 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.