Triple

T9404899
Position Surface form Disambiguated ID Type / Status
Subject Boston Dynamics E226560 entity
Predicate developed P73 FINISHED
Object BigDog E795934 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: BigDog | Statement: [Boston Dynamics, developed, BigDog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BigDog
Context triple: [Boston Dynamics, developed, BigDog]
  • A. BigDog chosen
    BigDog is a four-legged military robot developed by Boston Dynamics, renowned for its ability to navigate rough terrain while maintaining balance under challenging conditions.
  • B. Big Dog
    Big Dog is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known as a key run producer for the Cincinnati Reds’ “Big Red Machine” teams of the 1970s.
  • C. Bear the dog
    Bear the dog is a fictional canine companion character from Salman Rushdie’s fantasy novel "Luka and the Fire of Life."
  • D. Doxy
    Doxy is a jazz standard composed by tenor saxophonist Sonny Rollins and first recorded in 1954 with Miles Davis.
  • E. Great Dane
    The Great Dane is a giant, muscular dog breed known for its impressive height, gentle temperament, and nickname as the "Apollo of dogs."
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c125dc8190a6438cf0ee23e7a9 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1079bd644819081f9c8f25ff1c532 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:46 p.m.