Triple

T9680099
Position Surface form Disambiguated ID Type / Status
Subject Electric Arguments E234257 entity
Predicate previousWork P9710 FINISHED
Object Rushes E234256 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: Rushes | Statement: [Electric Arguments, previousWork, Rushes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushes
Context triple: [Electric Arguments, previousWork, Rushes]
  • A. Rushes chosen
    "Rushes" is a notable work by the artist known as The Fireman, the experimental music project of Paul McCartney and producer Youth.
  • B. Rains
    Rains is the surname of English actor Claude Rains, renowned for his roles in classic films such as "Casablanca" and "The Invisible Man."
  • C. Squalls
    Squalls was an Athens, Georgia-based new wave/alternative rock band active in the 1980s, known for its role in the college rock scene alongside groups like R.E.M. and Pylon.
  • D. الروشة
    الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
  • E. Weeds
    Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9dcbe881908ae926a5b5eae759 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190fd1ad48190980e7bc3245046dc completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.