Triple

T23127749
Position Surface form Disambiguated ID Type / Status
Subject Phorcides E577079 entity
Predicate hasMember P10 FINISHED
Object Deino NE NERFINISHED

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: Deino | Statement: [Phorcides, hasMember, Deino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deino
Context triple: [Phorcides, hasMember, Deino]
  • A. Deino chosen
    Deino is one of the three Graeae in Greek mythology, ancient sea-daimones who shared a single eye and tooth among them and served as prophetic guardians.
  • B. Oncino
    Oncino is a small Italian municipality located in the mountainous upper reaches of the Po Valley in the Piedmont region.
  • C. Deinomache
    Deinomache was an Athenian noblewoman of the 5th century BCE, best known as the mother of the prominent statesman and general Alcibiades.
  • D. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • E. Xerus
    Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.