Triple

T17695338
Position Surface form Disambiguated ID Type / Status
Subject Die ägyptische Helena (libretto) E441150 entity
Predicate hasCharacter P2308 FINISHED
Object Aithra 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: Aithra | Statement: [Die ägyptische Helena (libretto), hasCharacter, Aithra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aithra
Context triple: [Die ägyptische Helena (libretto), hasCharacter, Aithra]
  • A. Aithra chosen
    Aithra is a figure from Greek mythology, often known as the mother of the hero Theseus and associated with the royal lineage of Troezen.
  • B. Ailech
    Ailech was an important early medieval Irish kingdom and power base in the northwest, historically associated with the northern branch of the Uí Néill dynasty.
  • C. Orla
    Orla is a river in eastern Germany that flows through Thuringia before joining the Saale.
  • D. Orla
    Orla is an Irish feminine given name of Gaelic origin, traditionally interpreted to mean "golden princess" or "golden ruler."
  • E. Aisling
    Aisling is a notable film or project associated with acclaimed British cinematographer Dick Pope, recognized for his visually distinctive work.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e471559744819080b99081c90ab614 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.