Triple

T21061969
Position Surface form Disambiguated ID Type / Status
Subject Electra E518870 entity
Predicate children P980 FINISHED
Object Medon NE NERFINISHED

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: Medon | Statement: [Electra, children, Medon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medon
Context triple: [Electra, children, Medon]
  • A. Medon chosen
    Medon is a minor figure in Greek mythology known primarily as a son of Pylades.
  • B. Medesano
    Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
  • C. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • D. Kamiros
    Kamiros is an ancient city and archaeological site on the northwest coast of Rhodes, known for its well-preserved Hellenistic ruins and grid-planned layout.
  • E. Mora
    Mora is a small genus of large, tropical hardwood trees in the legume family, known for their dense, durable timber and occurrence in Neotropical rainforests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb064a48190b892b78e27e8d0fa completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:38 p.m.