Triple
T7381078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faith (album) |
E170250
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Thank You Lord
"Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
|
E659630
|
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: Thank You Lord | Statement: [Faith (album), hasTrack, Thank You Lord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thank You Lord Context triple: [Faith (album), hasTrack, Thank You Lord]
-
A.
Something the Lord Made
"Something the Lord Made" is a 2004 HBO biographical drama film depicting the groundbreaking heart surgery partnership between Black lab technician Vivien Thomas and white surgeon Alfred Blalock at Johns Hopkins.
-
B.
Oh My Lord
Oh My Lord is a song by the British rock band The Pretty Reckless from their album "Who You Selling For."
-
C.
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.
-
D.
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."
-
E.
Thank You
"Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
- 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: Thank You Lord Triple: [Faith (album), hasTrack, Thank You Lord]
Generated description
"Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thank You Lord Target entity description: "Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
-
A.
Something the Lord Made
"Something the Lord Made" is a 2004 HBO biographical drama film depicting the groundbreaking heart surgery partnership between Black lab technician Vivien Thomas and white surgeon Alfred Blalock at Johns Hopkins.
-
B.
Oh My Lord
Oh My Lord is a song by the British rock band The Pretty Reckless from their album "Who You Selling For."
-
C.
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.
-
D.
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."
-
E.
Thank You
"Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c7b5bc81908afa2bf39159979b |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802db77988190aacc4e2f9cbb0bb3 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c8038f9d5881908121776322a66e66 |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803fc447c8190b1d16b47c90f982b |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.