Triple

T4917658
Position Surface form Disambiguated ID Type / Status
Subject GreekMonsters E110386 entity
Predicate includes P1393 FINISHED
Object Keres E249771 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: Keres | Statement: [GreekMonsters, includes, Keres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keres
Context triple: [GreekMonsters, includes, Keres]
  • A. Keres chosen
    Keres are female death-spirits from Greek mythology associated with violent death and the battlefield, often depicted as dark, bloodthirsty beings who seize the souls of the dying.
  • B. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • C. Kuresa
    Kuresa, also known by the honorific Koorathazhwan, was a prominent 11th-century Sri Vaishnava scholar and chief disciple of the theologian Ramanuja.
  • D. Karesz
    Karesz is a Hungarian diminutive form of the male given name Károly.
  • E. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.