Triple

T19671879
Position Surface form Disambiguated ID Type / Status
Subject Never Gone E472352 entity
Predicate hasTrack P3284 FINISHED
Object My Beautiful Woman
"My Beautiful Woman" is a pop ballad by the Backstreet Boys from their 2005 comeback album "Never Gone."
E1390185 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: My Beautiful Woman | Statement: [Never Gone, hasTrack, My Beautiful Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Beautiful Woman
Context triple: [Never Gone, hasTrack, My Beautiful Woman]
  • A. My Beautiful Lady
    My Beautiful Lady is a Victorian-era narrative poem by sculptor and poet Thomas Woolner, known for its romantic and sentimental portrayal of love and loss.
  • B. My Woman
    My Woman is a critically acclaimed 2016 indie rock album by American singer-songwriter Angel Olsen, noted for its emotional depth and stylistic range.
  • C. Such a Woman
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • D. For My Woman
    "For My Woman" is a 1965 rock song by Australian band The Easybeats, notable as their first released single and an early example of the country's beat-era pop sound.
  • E. That Kind of Woman
    That Kind of Woman is a 1959 romantic drama film, scripted by Walter Bernstein, about a wartime love affair between a kept woman and a young paratrooper in New York City.
  • 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: My Beautiful Woman
Triple: [Never Gone, hasTrack, My Beautiful Woman]
Generated description
"My Beautiful Woman" is a pop ballad by the Backstreet Boys from their 2005 comeback album "Never Gone."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: My Beautiful Woman
Target entity description: "My Beautiful Woman" is a pop ballad by the Backstreet Boys from their 2005 comeback album "Never Gone."
  • A. My Beautiful Lady
    My Beautiful Lady is a Victorian-era narrative poem by sculptor and poet Thomas Woolner, known for its romantic and sentimental portrayal of love and loss.
  • B. My Woman
    My Woman is a critically acclaimed 2016 indie rock album by American singer-songwriter Angel Olsen, noted for its emotional depth and stylistic range.
  • C. Such a Woman
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • D. For My Woman
    "For My Woman" is a 1965 rock song by Australian band The Easybeats, notable as their first released single and an early example of the country's beat-era pop sound.
  • E. That Kind of Woman
    That Kind of Woman is a 1959 romantic drama film, scripted by Walter Bernstein, about a wartime love affair between a kept woman and a young paratrooper in New York City.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416cb0bc8190ab27dd28eebb50e7 completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787be755881908a8fa644690fd583 completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a0788b82bb88190a81764480e324028 completed May 15, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a078a0b7a7c8190adb44f9f20e0b6ff completed May 15, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:45 p.m.