Triple

T22641443
Position Surface form Disambiguated ID Type / Status
Subject Judi Farr E558836 entity
Predicate notableWork P4 FINISHED
Object Please Sir! 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: Please Sir! | Statement: [Judi Farr, notableWork, Please Sir!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Please Sir!
Context triple: [Judi Farr, notableWork, Please Sir!]
  • A. Please Sir!
    "Please Sir!" is a British television sitcom from the late 1960s and early 1970s that humorously follows the misadventures of a young teacher and his unruly secondary school class.
  • B. Dear Sir
    "Dear Sir" is the 1995 debut studio album by American singer-songwriter Chan Marshall, better known as Cat Power, showcasing her early lo-fi indie rock sound.
  • C. Please Sir! (TV series) chosen
    Please Sir! is a British television sitcom from the late 1960s and early 1970s that follows the comedic misadventures of an idealistic young teacher and his unruly secondary school class.
  • D. SIR
    SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
  • E. SIR
    SIR is a professional medical society representing physicians who specialize in minimally invasive, image-guided interventional radiology procedures.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170116fe881908178cffef26e3ae7 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.