Triple

T12233795
Position Surface form Disambiguated ID Type / Status
Subject Ross Valory E291540 entity
Predicate associatedAct P37 FINISHED
Object The Storm E291547 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: The Storm | Statement: [Ross Valory, associatedAct, The Storm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Storm
Context triple: [Ross Valory, associatedAct, The Storm]
  • A. The Storm
    "The Storm" is a short story by American author Kate Chopin that explores themes of passion, infidelity, and female desire in the context of a brief extramarital encounter during a Louisiana thunderstorm.
  • B. The Storm
    The Storm is the nickname of the Lake Elsinore Storm, a Minor League Baseball team based in Lake Elsinore, California.
  • C. The Storm chosen
    The Storm is a musical act known for its connection to the band Journey, featuring members who continued in a similar melodic rock style.
  • D. The Storm
    "The Storm" is a landscape painting by American artist George Inness, exemplifying his atmospheric, tonalist style and spiritual approach to nature.
  • E. The Storm
    "The Storm" is a 19th-century landscape painting by French Barbizon school artist Narcisse Virgilio Díaz de la Peña, noted for its dramatic depiction of nature under turbulent weather.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.