Triple

T3643039
Position Surface form Disambiguated ID Type / Status
Subject Heraclius E77233 entity
Predicate child P120 FINISHED
Object Martina the Younger E375082 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: Martina the Younger | Statement: [Heraclius, child, Martina the Younger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martina the Younger
Context triple: [Heraclius, child, Martina the Younger]
  • A. Martina chosen
    Martina was a Byzantine empress and the second wife of Emperor Heraclius, known for her controversial influence at court and her role in the empire’s turbulent 7th-century politics.
  • B. Martina Martini
    Martina Martini is an individual notable for sharing the surname associated with the famous Martini brand or family name.
  • C. Maria de Vellorno
    Maria de Vellorno is a character in Ann Radcliffe’s Gothic novel "A Sicilian Romance," notable for her role in the tale’s intricate web of passion, intrigue, and family conflict.
  • D. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • E. Marta
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35acf2c81908f60168e93b773b1 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48834d22081908687b250af859c6b completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.