Triple

T18587865
Position Surface form Disambiguated ID Type / Status
Subject 28th Academy Awards E454283 entity
Predicate bestOriginalSongRecipient P101301 FINISHED
Object Paul Francis Webster 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: Paul Francis Webster | Statement: [28th Academy Awards, bestOriginalSongRecipient, Paul Francis Webster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Francis Webster
Context triple: [28th Academy Awards, bestOriginalSongRecipient, 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 (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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b2f20481908da74447cd08d5bd completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.