Triple

T3115607
Position Surface form Disambiguated ID Type / Status
Subject The Pyramid E65054 entity
Predicate previousOwner P347 FINISHED
Object Aegon E48778 NE FINISHED

How this triple was built (2 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: Aegon | Statement: [The Pyramid, previousOwner, Aegon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aegon
Context triple: [The Pyramid, previousOwner, Aegon]
  • A. Aegon chosen
    Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
  • B. Tommen Baratheon
    Tommen Baratheon is a young, tragic king of the Seven Kingdoms in the television series "Game of Thrones," known for his gentle nature and manipulation by powerful figures around him.
  • C. Jon Snow
    Jon Snow is a central character in the "Game of Thrones" series, a member of the Night's Watch who rises to leadership and plays a crucial role in the struggle for the fate of Westeros.
  • D. Baelen
    Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
  • E. Robert Baratheon
    Robert Baratheon is a central character in the Game of Thrones universe, known as the boisterous yet disillusioned king whose rebellion toppled the Targaryen dynasty and set the stage for the series’ political turmoil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e40bc48190b9b17c706a2450d5 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039d9d408190b01e45f0ced5ca3d completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.