Triple
T21936799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Timmons |
E541708
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Whisper That Way
"Whisper That Way" is the debut solo album by Jeff Timmons, best known as a founding member of the pop group 98 Degrees.
|
E1509386
|
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: Whisper That Way | Statement: [Jeff Timmons, notableWork, Whisper That Way]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whisper That Way Context triple: [Jeff Timmons, notableWork, Whisper That Way]
-
A.
Leave a Whisper
Leave a Whisper is the debut studio album by American rock band Shinedown, known for its post-grunge sound and tracks like "Fly from the Inside" and "45."
-
B.
Whisper
Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
-
C.
Whisper
Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
-
D.
Whisper
Whisper is a henchman and assassin in the James Bond film "Live and Let Die," known for working under the villain Dr. Kananga.
-
E.
Whisper
Whisper is a 2007 supernatural horror film in which a botched kidnapping leads to terrifying events surrounding a mysterious young boy.
- 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: Whisper That Way Triple: [Jeff Timmons, notableWork, Whisper That Way]
Generated description
"Whisper That Way" is the debut solo album by Jeff Timmons, best known as a founding member of the pop group 98 Degrees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whisper That Way Target entity description: "Whisper That Way" is the debut solo album by Jeff Timmons, best known as a founding member of the pop group 98 Degrees.
-
A.
Leave a Whisper
Leave a Whisper is the debut studio album by American rock band Shinedown, known for its post-grunge sound and tracks like "Fly from the Inside" and "45."
-
B.
Whisper
Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
-
C.
Whisper
Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
-
D.
Whisper
Whisper is a henchman and assassin in the James Bond film "Live and Let Die," known for working under the villain Dr. Kananga.
-
E.
Whisper
Whisper is a 2007 supernatural horror film in which a botched kidnapping leads to terrifying events surrounding a mysterious young boy.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241c909c81908644eb73baa9def1 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60e8668c8190822cb376e2633213 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a619fa5048190a78af846d4576c46 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a62097c2c8190a223c257b4bbc28e |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:54 p.m.