Triple

T13423591
Position Surface form Disambiguated ID Type / Status
Subject Allsång på Skansen E313419 entity
Predicate alsoKnownAs P39 FINISHED
Object Allsången
Allsången is a popular Swedish sing-along television show held at Skansen in Stockholm, known for its live music performances and audience participation.
 E1038682 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: Allsången | Statement: [Allsång på Skansen, alsoKnownAs, Allsången]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allsången
Context triple: [Allsång på Skansen, alsoKnownAs, Allsången]
  • A. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • B. 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.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. Lied der Nacht
    Lied der Nacht is the evocative nickname of Gustav Mahler’s Symphony No. 7 in E minor, highlighting its mysterious, nocturnal character.
  • E. La Canción
    "La Canción" is a track featured on Oasis's 2019 album "Everything Not Saved Will Be Lost – Part 2," showcasing the band's later-era alternative rock sound.
  • 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: Allsången
Triple: [Allsång på Skansen, alsoKnownAs, Allsången]
Generated description
Allsången is a popular Swedish sing-along television show held at Skansen in Stockholm, known for its live music performances and audience participation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allsången
Target entity description: Allsången is a popular Swedish sing-along television show held at Skansen in Stockholm, known for its live music performances and audience participation.
  • A. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • B. 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.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. Lied der Nacht
    Lied der Nacht is the evocative nickname of Gustav Mahler’s Symphony No. 7 in E minor, highlighting its mysterious, nocturnal character.
  • E. La Canción
    "La Canción" is a track featured on Oasis's 2019 album "Everything Not Saved Will Be Lost – Part 2," showcasing the band's later-era alternative rock sound.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308673488190a64f4b205899605b completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7316101e48190b3ec59a4376a0562 completed May 3, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69f731f8e98c8190becfad8e3a371484 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:39 p.m.