Triple

T6488432
Position Surface form Disambiguated ID Type / Status
Subject Acrisius E146572 entity
Predicate father P120 FINISHED
Object Abas E584493 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: Abas | Statement: [Acrisius, father, Abas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abas
Context triple: [Acrisius, father, Abas]
  • A. Abas chosen
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • B. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • C. Abasa
    Abasa is the 80th chapter of the Qur'an, known for its admonition regarding a moment when the Prophet Muhammad frowned at a blind man seeking guidance.
  • D. Abbenes
    Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • E. Aberaman
    Aberaman is a village and community in Rhondda Cynon Taf, Wales, historically associated with coal mining and forming part of the greater Aberdare area.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b792f48190b301cdc643db8ddf completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.