Triple

T8143720
Position Surface form Disambiguated ID Type / Status
Subject Young Socrates E190156 entity
Predicate dialoguePartner P12142 FINISHED
Object Theodorus E211536 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: Theodorus | Statement: [Young Socrates, dialoguePartner, Theodorus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodorus
Context triple: [Young Socrates, dialoguePartner, Theodorus]
  • A. Theodorus
    Theodorus is a given name most notably borne by Theodorus van Gogh, the father of the famous painter Vincent van Gogh.
  • B. Theodorus
    Theodorus is a statesman known for his political leadership and public service.
  • C. Theodorus of Cyrene chosen
    Theodorus of Cyrene was an ancient Greek mathematician and philosopher known for his work on irrational numbers and for teaching prominent figures such as Plato’s associate Theaetetus.
  • D. Theaetetus
    Theaetetus is a Platonic dialogue that explores the nature of knowledge through a conversation between Socrates and the young mathematician Theaetetus.
  • E. Hippasus
    Hippasus is a figure from Greek mythology known as one of the heroes who took part in the legendary Calydonian Boar Hunt.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4444bb248190beaaa2ce4b8f3eaa completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced2bba08819080c4a2bb8c9ba1f2 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:36 p.m.