Triple

T17278971
Position Surface form Disambiguated ID Type / Status
Subject Protagoras (dialogue) E419467 entity
Predicate author P4 FINISHED
Object Plato E5358 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: Plato | Statement: [Protagoras (dialogue), author, Plato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plato
Context triple: [Protagoras (dialogue), author, Plato]
  • A. Plato
    Plato is a municipality in Colombia’s Magdalena Department, known for its location in the Caribbean region and its role as a local administrative and commercial center.
  • B. Plato chosen
    Plato was an ancient Greek philosopher, a student of Socrates and teacher of Aristotle, whose dialogues and ideas laid the foundations of Western philosophy.
  • C. Platone
    Platone is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • D. Platon
    Platon is a Greek surname most notably associated with Nikolaos Platon, a prominent archaeologist known for his work on Minoan civilization.
  • E. Socrate
    Socrate is a minimalist, three-part vocal work by French composer Erik Satie, based on dialogues of Plato and noted for its serene, understated setting of the text.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e433286f6c8190bf4a757707707e22 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179513ffc81908bac515823e88a1a completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.