Triple

T20295321
Position Surface form Disambiguated ID Type / Status
Subject Victoria Jackson E505333 entity
Predicate notableWork P4 FINISHED
Object UHF 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: UHF | Statement: [Victoria Jackson, notableWork, UHF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UHF
Context triple: [Victoria Jackson, notableWork, UHF]
  • A. UHF chosen
    UHF is a 1989 cult comedy film starring "Weird Al" Yankovic as a daydreaming misfit who turns a failing UHF television station into a bizarre hit.
  • B. UPHF
    UPHF is a French public polytechnic university located in the Hauts-de-France region, offering multidisciplinary higher education and research programs.
  • C. VHF
    VHF (Very High Frequency) is a radio frequency range from 30 to 300 MHz widely used for communication, broadcasting, and navigation systems such as the Gee navigation system.
  • D. UHP
    UHP is the Indian Railways station code assigned to Udhampur railway station in Jammu and Kashmir, India.
  • E. UHS
    UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:15 a.m.