Triple
T5535663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blake Shelton |
E145154
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
God Gave Me You
"God Gave Me You" is a popular country love song recorded by Blake Shelton that became one of his signature hits.
|
E528031
|
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: God Gave Me You | Statement: [Blake Shelton, notableWork, God Gave Me You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: God Gave Me You Context triple: [Blake Shelton, notableWork, God Gave Me You]
-
A.
Good as I Been to You
Good as I Been to You is a 1992 acoustic folk album by Bob Dylan, featuring traditional songs performed solo with voice, guitar, and harmonica.
-
B.
I Can Give You More
"I Can Give You More" is a hip hop single by LL Cool J from his debut album "Radio."
-
C.
Give It All
"Give It All" is a politically charged punk rock song by American band Rise Against, known for its fast tempo, socially conscious lyrics, and prominence in the early 2000s punk revival.
-
D.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
For You I Will
"For You I Will" is an R&B ballad by American singer Monica, best known for its appearance on the soundtrack of the 1996 film *Space Jam* and for becoming one of her signature hits.
- 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: God Gave Me You Triple: [Blake Shelton, notableWork, God Gave Me You]
Generated description
"God Gave Me You" is a popular country love song recorded by Blake Shelton that became one of his signature hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: God Gave Me You Target entity description: "God Gave Me You" is a popular country love song recorded by Blake Shelton that became one of his signature hits.
-
A.
Good as I Been to You
Good as I Been to You is a 1992 acoustic folk album by Bob Dylan, featuring traditional songs performed solo with voice, guitar, and harmonica.
-
B.
I Can Give You More
"I Can Give You More" is a hip hop single by LL Cool J from his debut album "Radio."
-
C.
Give It All
"Give It All" is a politically charged punk rock song by American band Rise Against, known for its fast tempo, socially conscious lyrics, and prominence in the early 2000s punk revival.
-
D.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
For You I Will
"For You I Will" is an R&B ballad by American singer Monica, best known for its appearance on the soundtrack of the 1996 film *Space Jam* and for becoming one of her signature hits.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01faed1d08190b6a57faedaf1b56a |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02810084c81909fde56d6ee4ad328 |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c033df2c7881909660eb931908318c |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c034640cd081909b44ff23e9005e57 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:34 p.m.