Triple

T23085398
Position Surface form Disambiguated ID Type / Status
Subject Dialogues of Plato E575582 entity
Predicate traditionalAttribution P7063 FINISHED
Object Plato 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: Plato | Statement: [Dialogues of Plato, traditionalAttribution, Plato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plato
Context triple: [Dialogues of Plato, traditionalAttribution, 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 (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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da573588190a8e0c859667e64a6 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.