Triple

T15313140
Position Surface form Disambiguated ID Type / Status
Subject Aristo E366088 entity
Predicate developer P73 FINISHED
Object AI2 E366082 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: AI2 | Statement: [Aristo, developer, AI2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AI2
Context triple: [Aristo, developer, AI2]
  • A. AI2 chosen
    AI2 is a research institute founded by Paul Allen that advances artificial intelligence through open science, impactful AI systems, and large-scale scholarly resources.
  • B. Ai
    Ai is an ancient Canaanite city mentioned in the Hebrew Bible, particularly in the Book of Joshua, as a site of early Israelite military campaigns.
  • C. Ai
    Ai is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into broader Chinese society.
  • D. .ai
    .ai is the country code top-level domain (ccTLD) associated with Anguilla that has become popular worldwide for artificial intelligence-related websites.
  • E. Google AI Studio
    Google AI Studio is a web-based development environment from Google that lets developers build, test, and integrate applications using Gemini and other Google AI models.
  • 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_69ff0b3dac6c81908eaa0aaad29113ee completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:16 a.m.