Triple
T15789946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Prater |
E382837
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Thank You |
E382840
|
NE FINISHED |
How this triple was built (2 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 Thank You | Statement: [Dave Prater, notableWork, I Thank You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Thank You Context triple: [Dave Prater, notableWork, I Thank You]
-
A.
I Thank You
chosen
"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.
-
B.
I Have You to Thank
"I Have You to Thank" is a song by American singer-songwriter Gavin DeGraw from his self-titled album.
-
C.
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.
-
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 cover album by British band Duran Duran, featuring their interpretations of songs by artists such as Lou Reed, Led Zeppelin, and Public Enemy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e054048ff48190ad107c890ef73166 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a87e3c8190a1c5b13cbfdff54a |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.