Triple

T22718513
Position Surface form Disambiguated ID Type / Status
Subject Ariodate E561797 entity
Predicate firstAppearance P795 FINISHED
Object Serse 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: Serse | Statement: [Ariodate, firstAppearance, Serse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serse
Context triple: [Ariodate, firstAppearance, Serse]
  • A. Serse chosen
    Serse is a comic opera by George Frideric Handel, best known for its famous aria "Ombra mai fu."
  • B. Sheshak
    Sheshak is an alternative name for Shishak, the ancient Egyptian pharaoh mentioned in the Hebrew Bible for his campaign against the Kingdom of Judah.
  • C. Bardiya
    Bardiya was a son of the Achaemenid ruler Cyrus the Great who briefly and controversially claimed the Persian throne in the late 6th century BCE.
  • D. Darius
    Darius is a masculine given name of Persian origin, historically associated with several kings of ancient Persia and still used internationally today.
  • E. Darius
    Darius is a classic side-scrolling shoot 'em up arcade game series by Taito, known for its branching stage paths, distinctive aquatic-themed enemy designs, and multi-screen arcade cabinets.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790fbf9c819082ba7b48801a7b39 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.