Triple
T7342698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King & I |
E169294
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
I Got Married
"I Got Married" is a song featured on the album "The King & I."
|
E658631
|
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: I Got Married | Statement: [The King & I, hasTrack, I Got Married]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Got Married Context triple: [The King & I, hasTrack, I Got Married]
-
A.
Just Married
"Just Married" is a 2003 romantic comedy film starring Ashton Kutcher and Brittany Murphy about a young couple whose disastrous European honeymoon tests their new marriage.
-
B.
Marry Me
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
-
C.
When We Are Married
"When We Are Married" is a 1938 comic play by English dramatist J. B. Priestley that follows three respectable couples whose social standing is thrown into chaos when they discover their marriages may not be legally valid.
-
D.
Watch Me Get Married
"Watch Me Get Married" is a song by Bill Callahan from his introspective 2019 album "Shepherd in a Sheepskin Vest."
-
E.
Marry You
"Marry You" is a song featured on the collaborative blues album "Riding with the King" by B.B. King and Eric Clapton.
- 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: I Got Married Triple: [The King & I, hasTrack, I Got Married]
Generated description
"I Got Married" is a song featured on the album "The King & I."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Got Married Target entity description: "I Got Married" is a song featured on the album "The King & I."
-
A.
Just Married
"Just Married" is a 2003 romantic comedy film starring Ashton Kutcher and Brittany Murphy about a young couple whose disastrous European honeymoon tests their new marriage.
-
B.
Marry Me
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
-
C.
When We Are Married
"When We Are Married" is a 1938 comic play by English dramatist J. B. Priestley that follows three respectable couples whose social standing is thrown into chaos when they discover their marriages may not be legally valid.
-
D.
Watch Me Get Married
"Watch Me Get Married" is a song by Bill Callahan from his introspective 2019 album "Shepherd in a Sheepskin Vest."
-
E.
Marry You
"Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0db2db8819088c4bed5d65571f6 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa867b7881908590ca1ea195b1b5 |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fc13167c819084ff05d780fc4394 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fd453fac8190862000bd670b5695 |
completed | March 28, 2026, 4:09 p.m. |
Created at: March 27, 2026, 3:04 p.m.