Triple

T6981910
Position Surface form Disambiguated ID Type / Status
Subject Werner Jaeger E161865 entity
Predicate mainInterest P1074 FINISHED
Object Aristotle E17522 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: Aristotle | Statement: [Werner Jaeger, mainInterest, Aristotle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aristotle
Context triple: [Werner Jaeger, mainInterest, Aristotle]
  • A. Aristotle chosen
    Aristotle was an ancient Greek philosopher and polymath whose works on logic, metaphysics, ethics, politics, and natural science profoundly shaped Western thought and intellectual history.
  • B. Plato
    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. 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.
  • D. Platone
    Platone is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • E. Theophrastus
    Theophrastus was an ancient Greek philosopher, Aristotle’s successor as head of the Lyceum, renowned for his influential works in logic, ethics, and especially botany.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6d3f3c8190b0121f7934440c34 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0e34288190ad2decbc18190c6b completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.