Triple

T21848276
Position Surface form Disambiguated ID Type / Status
Subject Halosydne E539433 entity
Predicate mythologicalTradition P1114 FINISHED
Object Hellenic 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: Hellenic | Statement: [Halosydne, mythologicalTradition, Hellenic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellenic
Context triple: [Halosydne, mythologicalTradition, Hellenic]
  • A. Hellenic chosen
    Hellenic refers to the ancient Greek culture and civilization, encompassing its language, religion, mythology, philosophy, and artistic traditions.
  • B. Grieco
    Grieco is an Italian-origin surname borne by various notable individuals in entertainment, sports, and other fields.
  • C. Greek
    Greek is an American comedy-drama television series that follows the lives, relationships, and rivalries of college students involved in the Greek-letter fraternity and sorority system.
  • D. Greek
    Greek is an Indo-European language that serves as the official language of Greece and Cyprus and has a documented history spanning over three millennia.
  • E. The Greek
    The Greek is the nickname of El Greco, the renowned 16th-century painter, sculptor, and architect of the Spanish Renaissance known for his expressive, elongated figures and dramatic use of color and light.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd56f4e081909a906b64c1019e6a completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.