Triple

T8770999
Position Surface form Disambiguated ID Type / Status
Subject Golden Fleece E208459 entity
Predicate associatedWith P37 FINISHED
Object Helle E518008 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: Helle | Statement: [Golden Fleece, associatedWith, Helle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helle
Context triple: [Golden Fleece, associatedWith, Helle]
  • A. Helle chosen
    Helle is a figure from Greek mythology, known as the daughter of Athamas who fell into the sea during her flight on the golden ram, giving her name to the Hellespont.
  • B. Helle
    Helle is a small river in eastern Belgium that serves as a left-bank tributary of the Vesdre.
  • C. Hyllus
    Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
  • D. Helietta
    Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
  • E. Hollein
    Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.