Triple

T2117074
Position Surface form Disambiguated ID Type / Status
Subject Flaming Pie E43832 entity
Predicate hasPart P35 FINISHED
Object The Song We Were Singing
"The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
E234209 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: The Song We Were Singing | Statement: [Flaming Pie, hasPart, The Song We Were Singing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Song We Were Singing
Context triple: [Flaming Pie, hasPart, The Song We Were Singing]
  • A. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • B. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • C. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • D. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • E. Song for Our Daughter
    Song for Our Daughter is a critically acclaimed 2020 folk album by British singer-songwriter Laura Marling, noted for its intimate songwriting and mature, reflective themes.
  • 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: The Song We Were Singing
Triple: [Flaming Pie, hasPart, The Song We Were Singing]
Generated description
"The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Song We Were Singing
Target entity description: "The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
  • A. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • B. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • C. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • D. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • E. Song for Our Daughter
    Song for Our Daughter is a critically acclaimed 2020 folk album by British singer-songwriter Laura Marling, noted for its intimate songwriting and mature, reflective themes.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2f6f608190937889bb393fe7c6 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3078c0688190aefe179c5572721d completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae311eec148190af10e88fb4d7c433 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae319b3d688190adea922024e552cd completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:43 p.m.