Triple

T15312988
Position Surface form Disambiguated ID Type / Status
Subject Aristo project E366085 entity
Predicate shortName P43 FINISHED
Object Aristo E366088 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: Aristo | Statement: [Aristo project, shortName, Aristo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aristo
Context triple: [Aristo project, shortName, Aristo]
  • A. Aristo chosen
    Aristo is an AI research project by the Allen Institute for Artificial Intelligence focused on solving standardized science and math exams using natural language understanding and reasoning.
  • B. Stilpo
    Stilpo was an influential 4th–3rd century BCE Greek philosopher known for his leadership of the Megarian school and his sharp dialectical skill.
  • C. Andronicus of Rhodes
    Andronicus of Rhodes was a 1st-century BCE Peripatetic philosopher best known for editing and organizing Aristotle’s works, which greatly influenced their transmission and interpretation in later antiquity.
  • D. Aphanes
    Aphanes is a small genus of herbaceous flowering plants in the rose family, commonly known as parsley-piert, found in temperate regions.
  • E. Aristone
    Aristone is a character in the 18th-century comic opera "La grotta di Trofonio" by Antonio Salieri.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.