Triple

T5775247
Position Surface form Disambiguated ID Type / Status
Subject Pleistrus E127423 entity
Predicate maternalGrandmother P3524 FINISHED
Object Leda E22547 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: Leda | Statement: [Pleistrus, maternalGrandmother, Leda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leda
Context triple: [Pleistrus, maternalGrandmother, Leda]
  • A. Leda
    Leda is a river in northwestern Germany that serves as a significant tributary of the Ems.
  • B. Leda chosen
    Leda is a figure in Greek mythology, a Spartan queen best known as the mother of Helen of Troy and the Dioscuri after being seduced by Zeus.
  • C. Celaeno
    Celaeno is one of the Pleiad nymphs in Greek mythology, a daughter of the Titan Atlas and the Oceanid Pleione.
  • D. Danaë
    Danaë is a princess in Greek mythology, mother of the hero Perseus, famously imprisoned by her father and visited by Zeus in the form of golden rain.
  • E. Leda Atomica
    Leda Atomica is a 1949 surrealist painting by Salvador Dalí that depicts a levitating Leda and swan in a meticulously rendered, mathematically structured composition.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029b0aa1c8190bf513212cfead33c completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09809cfcc8190b4d55db4b74316c7 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:50 p.m.