Triple
T23478158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Over and Over |
E570325
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
On My Way to Town
"On My Way to Town" is a song featured on the 1982 folk album "Love Over and Over" by Canadian duo Kate & Anna McGarrigle.
|
E1588054
|
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: On My Way to Town | Statement: [Love Over and Over, hasPart, On My Way to Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: On My Way to Town Context triple: [Love Over and Over, hasPart, On My Way to Town]
-
A.
Goin' to Town
"Goin' to Town" is a 1935 American comedy film starring Mae West, known for its witty dialogue and West's trademark bold, comedic persona.
-
B.
On My Way Home
"On My Way Home" is a popular song by Irish singer Enya, known for its ethereal vocals and lush, atmospheric production.
-
C.
I’m On My Way
"I’m On My Way" is a well-known song from the 1951 Lerner and Loewe stage musical *Paint Your Wagon*.
-
D.
My Kind of Town
"My Kind of Town" is a work associated with actor Nadim Sawalha, likely a film or television project in which he played a significant role.
-
E.
My Kind of Town
"My Kind of Town" is a popular American song, famously performed by Frank Sinatra, that celebrates the city of Chicago and has become a classic of the Great American Songbook.
- 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: On My Way to Town Triple: [Love Over and Over, hasPart, On My Way to Town]
Generated description
"On My Way to Town" is a song featured on the 1982 folk album "Love Over and Over" by Canadian duo Kate & Anna McGarrigle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: On My Way to Town Target entity description: "On My Way to Town" is a song featured on the 1982 folk album "Love Over and Over" by Canadian duo Kate & Anna McGarrigle.
-
A.
Goin' to Town
"Goin' to Town" is a 1935 American comedy film starring Mae West, known for its witty dialogue and West's trademark bold, comedic persona.
-
B.
On My Way Home
"On My Way Home" is a popular song by Irish singer Enya, known for its ethereal vocals and lush, atmospheric production.
-
C.
I’m On My Way
"I’m On My Way" is a well-known song from the 1951 Lerner and Loewe stage musical *Paint Your Wagon*.
-
D.
My Kind of Town
"My Kind of Town" is a work associated with actor Nadim Sawalha, likely a film or television project in which he played a significant role.
-
E.
My Kind of Town
"My Kind of Town" is a popular American song, famously performed by Frank Sinatra, that celebrates the city of Chicago and has become a classic of the Great American Songbook.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74e7e648190b89006dce7d7ce05 |
completed | April 29, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8263ec988190b4f86f4bc283d929 |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6f06a348190bfdba0452077f45b |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 6:02 p.m.