Triple

T15748129
Position Surface form Disambiguated ID Type / Status
Subject George Fuller (painter) E381770 entity
Predicate notableWork P4 FINISHED
Object Arethusa E254063 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: Arethusa | Statement: [George Fuller (painter), notableWork, Arethusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arethusa
Context triple: [George Fuller (painter), notableWork, Arethusa]
  • A. Arethusa
    Arethusa is one of the Hesperides, the nymphs of Greek mythology associated with a blissful western garden and its golden apples.
  • B. Arethusa chosen
    Arethusa is a nymph from Greek mythology best known for her transformation into a freshwater spring to escape the river god Alpheus.
  • C. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • D. Hippothoe
    Hippothoe is a minor figure in Greek mythology known primarily as one of the daughters of King Pelias of Iolcus.
  • E. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8309cba881909579ee5a62b3aa31 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.