Triple

T2025932
Position Surface form Disambiguated ID Type / Status
Subject Atlas E44406 entity
Predicate unveiledBy P13774 FINISHED
Object Boston Dynamics E226560 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: Boston Dynamics | Statement: [Atlas, unveiledBy, Boston Dynamics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston Dynamics
Context triple: [Atlas, unveiledBy, Boston Dynamics]
  • A. Boston Dynamics chosen
    Boston Dynamics is an American engineering and robotics company renowned for creating advanced, highly mobile robots such as Atlas, Spot, and Handle.
  • B. National Robotics Engineering Center
    The National Robotics Engineering Center is a leading research and development facility at Carnegie Mellon University specializing in advanced robotics and autonomous systems for real-world applications.
  • C. Ameca
    Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
  • D. Atlas humanoid robot
    The Atlas humanoid robot is a highly advanced, bipedal research platform developed by Boston Dynamics for exploring agile, human-like mobility and manipulation in complex environments.
  • E. Nadia humanoid robot
    Nadia is a state-of-the-art humanoid robot platform designed for advanced research in robotics, locomotion, and human-robot interaction.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fead86c8190b3b247e88aad30f9 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:38 p.m.