Triple

T12030119
Position Surface form Disambiguated ID Type / Status
Subject My Rifle, My Pony and Me E286381 entity
Predicate lyricsBy P1141 FINISHED
Object Paul Francis Webster E320854 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: Paul Francis Webster | Statement: [My Rifle, My Pony and Me, lyricsBy, Paul Francis Webster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Francis Webster
Context triple: [My Rifle, My Pony and Me, lyricsBy, Paul Francis Webster]
  • A. Paul Francis Webster chosen
    Paul Francis Webster was an American lyricist renowned for his work on numerous popular songs and film themes, including several Academy Award-winning compositions.
  • B. William Merrill
    William Merrill was an individual significant enough in local history that the town of Merrillville, Indiana, was named in his honor.
  • C. Ian Blume
    Ian Blume is a film editor known for his work on the drama feature "Ben Is Back."
  • D. Joseph Vance
    Joseph Vance is a semi-autobiographical novel by William De Morgan, known for its Victorian-style narrative and detailed portrayal of 19th-century English life.
  • E. Paul Webster
    Paul Webster is a British film producer known for his work on acclaimed films such as "Salmon Fishing in the Yemen" and other major international productions.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8d37ec81908d4a1668e932ca5b completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.