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.