Triple
T8153867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wet Wet Wet |
E190394
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Julia Says
"Julia Says" is a mid-1990s pop ballad by Scottish band Wet Wet Wet, known for its melodic hooks and emotive vocals.
|
E717264
|
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: Julia Says | Statement: [Wet Wet Wet, notableWork, Julia Says]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Says Context triple: [Wet Wet Wet, notableWork, Julia Says]
-
A.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
B.
Being Julia
Being Julia is a 2004 comedy-drama film in which Annette Bening delivers a critically acclaimed performance as an aging stage actress navigating love, ambition, and revenge in 1930s London theatre.
-
C.
My Name Is Julia Ross
My Name Is Julia Ross is a 1945 film noir thriller about a young woman trapped in a sinister identity-switching scheme.
-
D.
Jula
Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
E.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
- 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: Julia Says Triple: [Wet Wet Wet, notableWork, Julia Says]
Generated description
"Julia Says" is a mid-1990s pop ballad by Scottish band Wet Wet Wet, known for its melodic hooks and emotive vocals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia Says Target entity description: "Julia Says" is a mid-1990s pop ballad by Scottish band Wet Wet Wet, known for its melodic hooks and emotive vocals.
-
A.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
B.
Being Julia
Being Julia is a 2004 comedy-drama film in which Annette Bening delivers a critically acclaimed performance as an aging stage actress navigating love, ambition, and revenge in 1930s London theatre.
-
C.
My Name Is Julia Ross
My Name Is Julia Ross is a 1945 film noir thriller about a young woman trapped in a sinister identity-switching scheme.
-
D.
Jula
Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
E.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf0518688190b519fbe1823b95c2 |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccd7ca966481909bd01c4bb7f525ee |
completed | April 1, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd93da8ec8190b343dd2d0b1aad54 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 5:37 p.m.