Triple
T19021289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waiting for the Sun |
E465492
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wintertime Love
"Wintertime Love" is a short, waltz-like song by The Doors, noted for its baroque pop feel and romantic, wintry imagery.
|
E1354985
|
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: Wintertime Love | Statement: [Waiting for the Sun, hasPart, Wintertime Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wintertime Love Context triple: [Waiting for the Sun, hasPart, Wintertime Love]
-
A.
Warm Love
"Warm Love" is a soulful, romantic song by Van Morrison, featured on his acclaimed live album *It's Too Late to Stop Now*.
-
B.
Winter World of Love
"Winter World of Love" is a romantic pop ballad by Engelbert Humperdinck that became one of his signature hits in the late 1960s.
-
C.
Once Upon a Wintertime
Once Upon a Wintertime is an animated romantic musical short from Disney, known for its stylized winter setting and inclusion in the anthology film Melody Time.
-
D.
Love to Keep You Warm
"Love to Keep You Warm" is a song by the British hard rock band Whitesnake, featured on their 1978 album "Trouble."
-
E.
Winter Kiss
"Winter Kiss" is a song by the British rock band Young Guns, known for its melodic hooks and emotive 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: Wintertime Love Triple: [Waiting for the Sun, hasPart, Wintertime Love]
Generated description
"Wintertime Love" is a short, waltz-like song by The Doors, noted for its baroque pop feel and romantic, wintry imagery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wintertime Love Target entity description: "Wintertime Love" is a short, waltz-like song by The Doors, noted for its baroque pop feel and romantic, wintry imagery.
-
A.
Warm Love
"Warm Love" is a soulful, romantic song by Van Morrison, featured on his acclaimed live album *It's Too Late to Stop Now*.
-
B.
Winter World of Love
"Winter World of Love" is a romantic pop ballad by Engelbert Humperdinck that became one of his signature hits in the late 1960s.
-
C.
Once Upon a Wintertime
Once Upon a Wintertime is an animated romantic musical short from Disney, known for its stylized winter setting and inclusion in the anthology film Melody Time.
-
D.
Love to Keep You Warm
"Love to Keep You Warm" is a song by the British hard rock band Whitesnake, featured on their 1978 album "Trouble."
-
E.
Winter Kiss
"Winter Kiss" is a song by the British rock band Young Guns, known for its melodic hooks and emotive 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6dfa3c88190a057c3385d680cf8 |
completed | April 20, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be542b288190a029a9f639240ec0 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf4f8d0081909483a89498402f7c |
completed | May 14, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bfe2ab5c8190a969f060b01ee913 |
completed | May 14, 2026, 12:28 p.m. |
Created at: April 10, 2026, 12:02 p.m.