Triple

T3027944
Position Surface form Disambiguated ID Type / Status
Subject Ion E82824 entity
Predicate grandfather P979 FINISHED
Object Hellen E102205 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: Hellen | Statement: [Ion, grandfather, Hellen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellen
Context triple: [Ion, grandfather, Hellen]
  • A. Hellen chosen
    Hellen is a figure in Greek mythology regarded as the legendary ancestor and eponymous founder of the Hellenes (Greeks).
  • B. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • C. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • D. Hellenica
    Hellenica is an ancient Greek historical work by Xenophon that continues Thucydides’ account, covering Greek history from 411 to 362 BCE.
  • E. Hellanodikai
    The Hellanodikai were the ancient Greek judges and officials responsible for overseeing and enforcing the rules of the Olympic Games at Olympia.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abea8f4819090554d7319778170 completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb9c9548190b3d36803432b84f6 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.