Triple

T1181608
Position Surface form Disambiguated ID Type / Status
Subject Alex Borstein E25148 entity
Predicate televisionSeries P3279 FINISHED
Object Getting On E135193 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: Getting On | Statement: [Alex Borstein, televisionSeries, Getting On]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getting On
Context triple: [Alex Borstein, televisionSeries, Getting On]
  • A. Getting On chosen
    Getting On is an American dark comedy television series set in a dysfunctional hospital geriatric ward, adapted from the British show of the same name.
  • B. Get On Your Boots
    "Get On Your Boots" is a rock song by Irish band U2, released as the lead single from their 2009 album "No Line on the Horizon."
  • C. Growing Up
    "Growing Up" is an episode of the natural history television series "The Trials of Life" that focuses on the early life stages and development of animals.
  • D. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • E. The Come On
    "The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd347d4481909e9094463011289d completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764827b881908cd2bb1e11e179f3 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.