Triple

T22575786
Position Surface form Disambiguated ID Type / Status
Subject Get By E544387 entity
Predicate title P38 FINISHED
Object Get By NE NERFINISHED

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: Get By | Statement: [Get By, title, Get By]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get By
Context triple: [Get By, title, Get By]
  • A. Get By chosen
    "Get By" is a song whose title suggests themes of perseverance and managing to cope or survive despite difficulties.
  • B. Find Me
    "Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
  • C. Getting By
    Getting By is an American television sitcom that aired in the early 1990s, focusing on the lives of two single mothers raising their children together under one roof.
  • D. Get Some
    "Get Some" is a country song by Blake Shelton featured on his 2011 album "Red River Blue."
  • E. GET
    GET is the IATA airport code for Geraldton Airport in Western Australia, which serves the coastal city of Geraldton and its surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fecf1c8819091a05f2a1b93ca8a completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.