Triple

T19863145
Position Surface form Disambiguated ID Type / Status
Subject Dike E477320 entity
Predicate sibling P363 FINISHED
Object Eirene 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: Eirene | Statement: [Dike, sibling, Eirene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eirene
Context triple: [Dike, sibling, Eirene]
  • A. Eirene chosen
    Eirene is a feminine given name of Greek origin, commonly recognized as a variant of Irene and associated with the concept of peace.
  • B. Eirene
    Eirene is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • C. Theosebia
    Theosebia is a relatively obscure early Christian figure known primarily as a member of the family of Basil the Elder, associated with the influential Cappadocian Christian milieu.
  • D. Ermioni
    Ermioni is a small coastal town and popular holiday destination in the Argolis region of the Peloponnese in Greece, known for its picturesque harbor and proximity to nearby islands.
  • E. Eleonas
    Eleonas is a district in the western part of Athens, Greece, historically known for its olive groves and now characterized by mixed industrial and urban development.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589c4c0081908cd51ff75441e7ac completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.