Triple
T10320485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W Hotels |
E242123
|
entity |
| Predicate | brandSlogan |
P42
|
FINISHED |
| Object |
Whatever/Whenever
Whatever/Whenever is W Hotels' signature 24/7 concierge-style service promise to fulfill virtually any guest request at any time.
|
E855230
|
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: Whatever/Whenever | Statement: [W Hotels, brandSlogan, Whatever/Whenever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whatever/Whenever Context triple: [W Hotels, brandSlogan, Whatever/Whenever]
-
A.
Whatever
"Whatever" is a popular hard rock song by the American band Godsmack, known for its aggressive sound and defiant lyrics.
-
B.
Whatever
Whatever is the 1993 debut solo album by American singer-songwriter Aimee Mann, noted for its literate, melodic pop-rock songs and critical acclaim.
-
C.
Anytime
"Anytime" is a popular country song by Eddy Arnold that became one of his signature hits and a standard in the genre.
-
D.
Anytime
"Anytime" is a 1997 R&B album by American singer Brian McKnight that became one of his most commercially successful and critically recognized releases.
-
E.
Whenever, Wherever
"Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
- 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: Whatever/Whenever Triple: [W Hotels, brandSlogan, Whatever/Whenever]
Generated description
Whatever/Whenever is W Hotels' signature 24/7 concierge-style service promise to fulfill virtually any guest request at any time.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whatever/Whenever Target entity description: Whatever/Whenever is W Hotels' signature 24/7 concierge-style service promise to fulfill virtually any guest request at any time.
-
A.
Whatever
"Whatever" is a popular hard rock song by the American band Godsmack, known for its aggressive sound and defiant lyrics.
-
B.
Whatever
Whatever is the 1993 debut solo album by American singer-songwriter Aimee Mann, noted for its literate, melodic pop-rock songs and critical acclaim.
-
C.
Anytime
"Anytime" is a 1997 R&B album by American singer Brian McKnight that became one of his most commercially successful and critically recognized releases.
-
D.
Anytime
"Anytime" is a popular country song by Eddy Arnold that became one of his signature hits and a standard in the genre.
-
E.
Whenever, Wherever
"Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cbbb548190b757ec5a02d60e5c |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d94aba48190aa40201d46f7ba2f |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d7318755b881908e9ea4f1dfcf7da2 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73285e0688190a98708477527bbee |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:50 a.m.