Triple

T5014743
Position Surface form Disambiguated ID Type / Status
Subject Samuel Francis Smith E112711 entity
Predicate notableWork P4 FINISHED
Object Yes, My Native Land, I Love Thee E486586 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: Yes, My Native Land, I Love Thee | Statement: [Samuel Francis Smith, notableWork, Yes, My Native Land, I Love Thee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yes, My Native Land, I Love Thee
Context triple: [Samuel Francis Smith, notableWork, Yes, My Native Land, I Love Thee]
  • A. Yes, My Native Land, I Love Thee chosen
    "Yes, My Native Land, I Love Thee" is a 19th-century patriotic hymn by American Baptist minister and lyricist Samuel Francis Smith, best known for its expression of devotion to one’s homeland.
  • B. Qaumi Tarana
    Qaumi Tarana is the national anthem of Pakistan, renowned for its poetic Urdu lyrics and patriotic significance.
  • C. My Homeland
    "My Homeland" is the English title of "Mawtini," a famous patriotic anthem widely regarded as a symbol of national pride in the Arab world.
  • D. Our Fatherland
    "Our Fatherland" is the English title of "Mer Hayrenik," the national anthem of Armenia.
  • E. My Country, My Country
    "My Country, My Country" is a 2006 documentary film by Laura Poitras that follows an Iraqi doctor and political candidate during the U.S. occupation and the country’s first post-invasion elections.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd732e0b848190858407920e7aefd0 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5b09688190a0bc602396042e3f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:35 p.m.