Triple

T31318644
Position Surface form Disambiguated ID Type / Status
Subject Marc Raibert E798663 entity
Predicate founded P104 FINISHED
Object Leg Laboratory at Carnegie Mellon University
The Leg Laboratory at Carnegie Mellon University was a pioneering robotics research lab focused on dynamic legged locomotion and control, laying foundational work for modern legged robots.
 E1956615 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: Leg Laboratory at Carnegie Mellon University | Statement: [Marc Raibert, founded, Leg Laboratory at Carnegie Mellon University]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Leg Laboratory at Carnegie Mellon University
Triple: [Marc Raibert, founded, Leg Laboratory at Carnegie Mellon University]
Generated description
The Leg Laboratory at Carnegie Mellon University was a pioneering robotics research lab focused on dynamic legged locomotion and control, laying foundational work for modern legged robots.

Provenance (5 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_69f224e1932c81908fef14f7b03a10b7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69eab7980819083ab0ee519699561 completed May 3, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e4598348190b00af58baa3cd3f0 completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a3711ead8819082d5bd3cbab6bbcb completed June 11, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2a37b350c08190be9922bfe6977ae6 completed June 11, 2026, 4:21 a.m.
Created at: April 29, 2026, 9:15 p.m.