Triple

T9752279
Position Surface form Disambiguated ID Type / Status
Subject Princess Atta E236468 entity
Predicate enemyOf P437 FINISHED
Object Hopper E236470 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: Hopper | Statement: [Princess Atta, enemyOf, Hopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hopper
Context triple: [Princess Atta, enemyOf, Hopper]
  • A. 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.
  • B. Hopper chosen
    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.
  • C. Hopper
    Hopper is an NVIDIA GPU architecture designed for high-performance computing and AI workloads, featuring advanced capabilities such as enhanced Tensor Core acceleration.
  • D. Hopper Penn
    Hopper Penn is an American actor and model, best known as the son of actors Sean Penn and Robin Wright and for his roles in independent films.
  • E. Stone Hopper
    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."
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcd60e1c81908ea2e38ca91e58f6 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:24 p.m.