Triple

T10026821
Position Surface form Disambiguated ID Type / Status
Subject Fran Drescher E200749 entity
Predicate notableWork P4 FINISHED
Object UHF E412806 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: UHF | Statement: [Fran Drescher, notableWork, UHF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UHF
Context triple: [Fran Drescher, 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. 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.
  • C. UHS
    UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
  • D. UHPP
    UHPP is the ICAO airport code for Petropavlovsk-Kamchatsky Airport, a major air gateway on Russia’s Kamchatka Peninsula.
  • E. S-band
    S-band is a segment of the microwave radio spectrum commonly used for satellite communications, deep space telemetry, and radar applications.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac9cdfc8190b91746855bf3de12 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:54 p.m.