Triple

T21555174
Position Surface form Disambiguated ID Type / Status
Subject Morning Has Broken E531870 entity
Predicate lyricsBy P1141 FINISHED
Object Eleanor Farjeon 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: Eleanor Farjeon | Statement: [Morning Has Broken, lyricsBy, Eleanor Farjeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleanor Farjeon
Context triple: [Morning Has Broken, lyricsBy, Eleanor Farjeon]
  • A. Eleanor Farjeon chosen
    Eleanor Farjeon was an English author and poet best known for her children's literature and the hymn "Morning Has Broken."
  • B. Kathleen Mary Nesbitt
    Kathleen Mary Nesbitt, better known professionally as Cathleen Nesbitt, was a distinguished British stage and screen actress whose career spanned much of the 20th century.
  • C. Margery Williams
    Margery Williams was a British-American author best known for her classic 1922 children's book "The Velveteen Rabbit."
  • D. Elizabeth Enright
    Elizabeth Enright was an American author and illustrator best known for her Newbery Medal–winning children's books, including "Thimble Summer" and the "Melendy" family series.
  • E. Kay Nesbitt
    Kay Nesbitt is the central protagonist of the comic strip "Married Life," around whom the series’ domestic and humorous storylines revolve.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2df48c88190894b6b08a5cb6390 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.