Triple

T8738152
Position Surface form Disambiguated ID Type / Status
Subject Florence Henderson E207435 entity
Predicate performedIn P795 FINISHED
Object Song of Norway
Song of Norway is a 1944 operetta-turned-musical film adaptation based on the life and music of Norwegian composer Edvard Grieg.
 E755751 NE FINISHED

How this triple was built (4 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: Song of Norway | Statement: [Florence Henderson, performedIn, Song of Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Song of Norway
Context triple: [Florence Henderson, performedIn, Song of Norway]
  • A. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • B. Sång till Norden
    Sång till Norden is the original Swedish patriotic song that later became known as "Du gamla, Du fria," widely regarded as Sweden’s de facto national anthem.
  • C. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • D. The Universal Song
    The Universal Song is a track by the band Cafe Racers, likely reflecting their signature style within their musical catalog.
  • E. Song of White
    "Song of White" is a track from the progressive rock album "Antarctica" by the band Antarctica.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Song of Norway
Triple: [Florence Henderson, performedIn, Song of Norway]
Generated description
Song of Norway is a 1944 operetta-turned-musical film adaptation based on the life and music of Norwegian composer Edvard Grieg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Song of Norway
Target entity description: Song of Norway is a 1944 operetta-turned-musical film adaptation based on the life and music of Norwegian composer Edvard Grieg.
  • A. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • B. Sång till Norden
    Sång till Norden is the original Swedish patriotic song that later became known as "Du gamla, Du fria," widely regarded as Sweden’s de facto national anthem.
  • C. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • D. The Universal Song
    The Universal Song is a track by the band Cafe Racers, likely reflecting their signature style within their musical catalog.
  • E. Song of White
    "Song of White" is a track from the progressive rock album "Antarctica" by the band Antarctica.
  • F. None of above. chosen

Provenance (5 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42c9140081909f9c10560757c860 completed April 3, 2026, 4:32 a.m.
NEDg Description generation batch_69cf43ead588819094089bea94c27207 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf453fa3e4819082466c59649c2f35 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:38 p.m.