Triple

T1032391
Position Surface form Disambiguated ID Type / Status
Subject Homeric Hymns E22280 entity
Predicate containsHymnTo P21160 FINISHED
Object Hermes E9357 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: Hermes | Statement: [Homeric Hymns, containsHymnTo, Hermes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermes
Context triple: [Homeric Hymns, containsHymnTo, Hermes]
  • A. Hermes chosen
    Hermes is the fleet-footed Greek god of trade, travel, and communication, who serves as messenger of the Olympian gods and guide of souls to the underworld.
  • B. Aristaeus
    Aristaeus is a minor Greek god associated with agriculture, beekeeping, and pastoral pursuits, often revered as a culture hero who taught humans various rural arts.
  • C. Aidoneus
    Aidoneus is an alternate name and epithet for Hades, the Greek god who rules the underworld and the dead.
  • D. Steropes
    Steropes is a one-eyed giant from Greek mythology, one of the Cyclopes known for forging Zeus’s thunderbolts.
  • E. Argus
    Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb71e7f88190bf33bbe5ef2c68ff completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c15bb8481909ba68f5807581b18 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.