Triple

T22488277
Position Surface form Disambiguated ID Type / Status
Subject Onionoo E555947 entity
Predicate usedBy P260 FINISHED
Object Atlas 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: Atlas | Statement: [Onionoo, usedBy, Atlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas
Context triple: [Onionoo, usedBy, Atlas]
  • A. Atlas
    Atlas is a highly advanced humanoid robot developed by Boston Dynamics for DARPA, designed for complex, human-like mobility and manipulation in disaster-response and research environments.
  • B. Atlas
    Atlas is a monumental ongoing project by German artist Gerhard Richter, consisting of thousands of photographs, sketches, and collages that document and inform his artistic practice.
  • C. Atlas
    Atlas is one of the two cooperative testing robots in the puzzle-platform video game Portal 2, known for assisting in solving test chambers designed by GLaDOS.
  • D. Atlas chosen
    Atlas is a comprehensive digital mapping and geographic information system platform that serves as the foundational framework for applications like Electric Atlas (2024).
  • E. Atlas
    Atlas is a Marvel Comics supervillain and frequent member of the Thunderbolts known for his immense size-changing and superhuman strength.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3e73108190be5ca89ea96a85e4 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.