Triple

T15583283
Position Surface form Disambiguated ID Type / Status
Subject Agron E374552 entity
Predicate name P16 FINISHED
Object Agron E374552 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: Agron | Statement: [Agron, name, Agron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agron
Context triple: [Agron, name, Agron]
  • A. Agron
    Agron is an early Hebrew dictionary and thesaurus compiled by Saadia Gaon to aid in the study and composition of Hebrew poetry and scripture.
  • B. Agron chosen
    Agron was a prominent king of the Illyrians known for significantly expanding their power in the western Balkans during the 3rd century BCE.
  • C. Agron
    Agron is a prominent rebel warrior and close ally of Spartacus in the television series "Spartacus: War of the Damned."
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Ager
    Ager is a surname most notably associated with American composer and songwriter Milton Ager, known for popular songs of the early 20th century.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e47971481909e986dd999354628 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4f71e48190a15eb0a2138f083f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.