Triple
T9237385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Grant |
E221970
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
|
E787105
|
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: Good for Me | Statement: [Amy Grant, notableSong, Good for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good for Me Context triple: [Amy Grant, notableSong, Good for Me]
-
A.
Good to Be Me
"Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
-
B.
Feels Good to Me
Feels Good to Me is the 1978 debut solo album by drummer Bill Bruford, blending jazz fusion and progressive rock with an all-star lineup of musicians.
-
C.
Be Good to Yourself
"Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
-
D.
It's Bad for Me
"It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
-
E.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
- 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: Good for Me Triple: [Amy Grant, notableSong, Good for Me]
Generated description
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good for Me Target entity description: "Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
-
A.
Good to Be Me
"Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
-
B.
Feels Good to Me
Feels Good to Me is the 1978 debut solo album by drummer Bill Bruford, blending jazz fusion and progressive rock with an all-star lineup of musicians.
-
C.
Be Good to Yourself
"Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
-
D.
It's Bad for Me
"It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
-
E.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09e553081909cf864635cfc5dcc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077d4c4a881909c80176ddf5101a4 |
completed | April 4, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_69d07da85c748190ab7096ce3d3d2319 |
completed | April 4, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07e52c0788190a5009a7fe649a6c7 |
completed | April 4, 2026, 2:58 a.m. |
Created at: March 30, 2026, 7:29 p.m.