Triple

T10009721
Position Surface form Disambiguated ID Type / Status
Subject For Everyman E198339 entity
Predicate hasPart P35 FINISHED
Object Sing My Songs to Me
"Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
 E835396 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: Sing My Songs to Me | Statement: [For Everyman, hasPart, Sing My Songs to Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sing My Songs to Me
Context triple: [For Everyman, hasPart, Sing My Songs to Me]
  • A. Sing to Me Instead
    Sing to Me Instead is the debut studio album by American singer and actor Ben Platt, showcasing his theatrical pop style and emotionally driven songwriting.
  • B. Sing for Me
    "Sing for Me" is a pop ballad by Christina Aguilera featured on her 2012 studio album *Lotus*.
  • C. 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."
  • D. This Is My Song
    "This Is My Song" is a 1967 pop ballad written by Charlie Chaplin and famously recorded by Petula Clark, becoming one of her signature international hits.
  • E. I Am Your Singer
    "I Am Your Singer" is a gentle, melodic song by Paul and Linda McCartney from Wings' early 1970s period.
  • 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: Sing My Songs to Me
Triple: [For Everyman, hasPart, Sing My Songs to Me]
Generated description
"Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sing My Songs to Me
Target entity description: "Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
  • A. Sing to Me Instead
    Sing to Me Instead is the debut studio album by American singer and actor Ben Platt, showcasing his theatrical pop style and emotionally driven songwriting.
  • B. Sing for Me
    "Sing for Me" is a pop ballad by Christina Aguilera featured on her 2012 studio album *Lotus*.
  • C. 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."
  • D. This Is My Song
    "This Is My Song" is a 1967 pop ballad written by Charlie Chaplin and famously recorded by Petula Clark, becoming one of her signature international hits.
  • E. I Am Your Singer
    "I Am Your Singer" is a gentle, melodic song by Paul and Linda McCartney from Wings' early 1970s period.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a7265b88190b69e7869a96bb404 completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26e44ef488190bf8ce9c7b6c9700f completed April 5, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_69d26ecca9508190a3a0890748f80ea6 completed April 5, 2026, 2:16 p.m.
Created at: March 30, 2026, 8:52 p.m.