Triple

T6809139
Position Surface form Disambiguated ID Type / Status
Subject Rupert Psmith E156585 entity
Predicate appearsIn P795 FINISHED
Object Psmith, Journalist E156585 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: Psmith, Journalist | Statement: [Rupert Psmith, appearsIn, Psmith, Journalist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Psmith, Journalist
Context triple: [Rupert Psmith, appearsIn, Psmith, Journalist]
  • A. Rupert Psmith chosen
    Rupert Psmith is a witty, impeccably dressed, and verbally flamboyant young Englishman who stars in several humorous P. G. Wodehouse stories.
  • B. Charlie Y. Reader
    Charlie Y. Reader is the central protagonist of the romantic comedy film "The Tender Trap," around whom the story’s romantic entanglements and personal growth revolve.
  • C. Mr. Woodcock
    Mr. Woodcock is a 2007 American comedy film about a man who discovers that his overbearing former gym teacher is engaged to his mother.
  • D. H. J. Mulliner
    H. J. Mulliner was a renowned British coachbuilding firm best known for crafting bespoke luxury car bodies for marques such as Rolls-Royce and Bentley in the early to mid-20th century.
  • E. Thackery Binx
    Thackery Binx is a bewitched 17th-century boy cursed to live forever as a talking black cat in the Halloween film "Hocus Pocus."
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30c741881909e220b05aa564bc2 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa5411c81908d05bef3213b39f1 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.