Triple

T11882418
Position Surface form Disambiguated ID Type / Status
Subject Persian court E282690 entity
Predicate hasCentralFigure P1183 FINISHED
Object Great King E319269 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: Great King | Statement: [Persian court, hasCentralFigure, Great King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great King
Context triple: [Persian court, hasCentralFigure, Great King]
  • A. Great King chosen
    Great King was the imperial title used by Achaemenid Persian monarchs such as Artaxerxes I, signifying their supreme authority over a vast multi-ethnic empire.
  • B. Kingo
    Kingo is a Japanese given name most notably borne by Tatsuno Kingo, a prominent architect of Japan’s Meiji era.
  • C. Kingo
    Kingo is an Eternal who lives on Earth as a charismatic Bollywood movie star while secretly using his cosmic powers to protect humanity.
  • D. König
    König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
  • E. Koning
    Koning is a Dutch surname and term meaning “king,” commonly used in the Netherlands and Belgium.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281e6f8888190bc8495b1261a86df completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.