Triple
T8176128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grateful |
E190939
|
entity |
| Predicate | hasHitSingle |
P15293
|
FINISHED |
| Object |
I’m So Grateful
"I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
|
E716312
|
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’m So Grateful | Statement: [Grateful, hasHitSingle, I’m So Grateful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m So Grateful Context triple: [Grateful, hasHitSingle, I’m So Grateful]
-
A.
Thank You So Much
"Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
-
B.
I Thank You
"I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
-
C.
Thank You Lord
"Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
-
D.
I Wanna Thank Me
"I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
-
E.
Thank You
"Thank You" is Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
- 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’m So Grateful Triple: [Grateful, hasHitSingle, I’m So Grateful]
Generated description
"I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I’m So Grateful Target entity description: "I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
-
A.
Thank You So Much
"Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
-
B.
I Thank You
"I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
-
C.
Thank You Lord
"Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
-
D.
I Wanna Thank Me
"I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
-
E.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf75bf2481908d585f7017be36a5 |
completed | April 1, 2026, 6:47 a.m. |
| NEDg | Description generation | batch_69ccc313ba7c81909b9ee65b37ed165e |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd85aa2888190bd167148b21a3f93 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:40 p.m.