Triple
T10393533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Do, I Do, I Do, I Do, I Do |
E244947
|
entity |
| Predicate | chronologicallyFollows |
P6702
|
FINISHED |
| Object |
So Long
"So Long" is a song by Swedish pop group ABBA, released in 1974 as a high-energy rock-influenced single.
|
E859315
|
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: So Long | Statement: [I Do, I Do, I Do, I Do, I Do, chronologicallyFollows, So Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Long Context triple: [I Do, I Do, I Do, I Do, I Do, chronologicallyFollows, So Long]
-
A.
So Long Baby
"So Long Baby" is a rock and roll song by Del Shannon, featured as a track on his album "Runaway with Del Shannon."
-
B.
So Long, Farewell
"So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
-
C.
Sooner or Later
"Sooner or Later" is a country-pop song by American singer-songwriter Michelle Branch, released as a single from her 2010 album "Everything Comes and Goes."
-
D.
So Long Mama
"So Long Mama" is a song by American country artist Ricky Nelson, released as the B-side to his 1972 hit single "Garden Party."
-
E.
Say Goodbye
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
- 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: So Long Triple: [I Do, I Do, I Do, I Do, I Do, chronologicallyFollows, So Long]
Generated description
"So Long" is a song by Swedish pop group ABBA, released in 1974 as a high-energy rock-influenced single.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Long Target entity description: "So Long" is a song by Swedish pop group ABBA, released in 1974 as a high-energy rock-influenced single.
-
A.
So Long Baby
"So Long Baby" is a rock and roll song by Del Shannon, featured as a track on his album "Runaway with Del Shannon."
-
B.
So Long, Farewell
"So Long, Farewell" is a popular song from the 1959 Rodgers and Hammerstein musical *The Sound of Music*, known for its playful farewell sequence performed by the von Trapp children.
-
C.
Sooner or Later
"Sooner or Later" is a country-pop song by American singer-songwriter Michelle Branch, released as a single from her 2010 album "Everything Comes and Goes."
-
D.
So Long Mama
"So Long Mama" is a song by American country artist Ricky Nelson, released as the B-side to his 1972 hit single "Garden Party."
-
E.
Say Goodbye
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b795fc8190aa50ce3c7360ff83 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c8271c81908a6b67822050c06d |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7975191ac8190b32eb6cc1f5c88aa |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798655c7c8190a5da5ef976102285 |
completed | April 9, 2026, 12:15 p.m. |
Created at: April 6, 2026, 12:06 p.m.