Triple

T16063477
Position Surface form Disambiguated ID Type / Status
Subject Alex Hopper E389671 entity
Predicate hasRelative P367 FINISHED
Object Stone Hopper E388173 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: Stone Hopper | Statement: [Alex Hopper, hasRelative, Stone Hopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stone Hopper
Context triple: [Alex Hopper, hasRelative, Stone Hopper]
  • A. Stone Hopper chosen
    Stone Hopper is a fictional U.S. Navy officer and the older brother of protagonist Alex Hopper in the 2012 science fiction naval warfare film "Battleship."
  • B. Hopper
    Hopper is an NVIDIA GPU architecture designed for high-performance computing and AI workloads, featuring advanced capabilities such as enhanced Tensor Core acceleration.
  • C. Hopper
    Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
  • D. Hopper
    Hopper is the ruthless grasshopper leader and main villain in Pixar's animated film "A Bug's Life," known for terrorizing an ant colony to maintain his power.
  • E. Hopper
    Hopper is a supporting character in the 2015 romantic comedy film "Mr. Right," involved in the movie’s offbeat, action-driven storyline.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837b048881908326739bbede756f completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ca9748190be24a490c3cf0e8c completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.