Triple
T21673331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Led Zeppelin II |
E534907
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Thank You
"Thank You" is a melodic, organ-driven love ballad by Led Zeppelin, featured on their 1969 album Led Zeppelin II and noted for its heartfelt lyrics and distinctive arrangement.
|
E1496001
|
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 | Statement: [Led Zeppelin II, hasTrack, Thank You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thank You Context triple: [Led Zeppelin II, hasTrack, Thank You]
-
A.
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.
-
B.
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.
-
C.
Thank You
"Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
-
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 song whose vocal sample is prominently used in the track "Stan" by Eminem.
- 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 Triple: [Led Zeppelin II, hasTrack, Thank You]
Generated description
"Thank You" is a melodic, organ-driven love ballad by Led Zeppelin, featured on their 1969 album Led Zeppelin II and noted for its heartfelt lyrics and distinctive arrangement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thank You Target entity description: "Thank You" is a melodic, organ-driven love ballad by Led Zeppelin, featured on their 1969 album Led Zeppelin II and noted for its heartfelt lyrics and distinctive arrangement.
-
A.
Thank You
"Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
-
B.
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.
-
C.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
-
D.
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.
-
E.
Thank You
"Thank You" is a song by American singer Keyshia Cole from her R&B album "Calling All Hearts."
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0e06688190a75ea29534f5eed3 |
completed | April 27, 2026, 4:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a15a7a19c8190a38ef90422f7feeb |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16ac5ee881909ede61c149be61fa |
completed | May 17, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17d9a48881908d9858e40d41674c |
completed | May 17, 2026, 7:32 p.m. |
Created at: April 16, 2026, 6:41 p.m.