Triple
T19790268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra |
E475390
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Arabesque
Arabesque was a German disco girl group popular in the late 1970s and early 1980s, known for their catchy Euro-disco hits and colorful, glamorous image.
|
E1396294
|
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: Arabesque | Statement: [Sandra, associatedAct, Arabesque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabesque Context triple: [Sandra, associatedAct, Arabesque]
-
A.
Arabesque
"Arabesque" is a 1966 romantic spy thriller film starring Sophia Loren and Gregory Peck, known for its stylish visuals and intricate espionage plot.
-
B.
Arabesque
"Arabesque" is a song best known as the lead single from the album *Everyday Life* by the British rock band Coldplay.
-
C.
Arabesque
Arabesque is a 1982 studio album by English-French singer and actress Jane Birkin, showcasing her distinctive, intimate vocal style in a collection of chanson and pop songs.
-
D.
Arabesque No. 1
Arabesque No. 1 is a lyrical and impressionistic piano piece by Claude Debussy, celebrated for its flowing arpeggios and delicate, dreamlike character.
-
E.
Pirouette
Pirouette is a rolled, crispy wafer cookie filled with sweet flavored cream, produced by Pepperidge Farm.
- 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: Arabesque Triple: [Sandra, associatedAct, Arabesque]
Generated description
Arabesque was a German disco girl group popular in the late 1970s and early 1980s, known for their catchy Euro-disco hits and colorful, glamorous image.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arabesque Target entity description: Arabesque was a German disco girl group popular in the late 1970s and early 1980s, known for their catchy Euro-disco hits and colorful, glamorous image.
-
A.
Arabesque
"Arabesque" is a 1966 romantic spy thriller film starring Sophia Loren and Gregory Peck, known for its stylish visuals and intricate espionage plot.
-
B.
Arabesque
"Arabesque" is a song best known as the lead single from the album *Everyday Life* by the British rock band Coldplay.
-
C.
Arabesque
Arabesque is a 1982 studio album by English-French singer and actress Jane Birkin, showcasing her distinctive, intimate vocal style in a collection of chanson and pop songs.
-
D.
Arabesque No. 1
Arabesque No. 1 is a lyrical and impressionistic piano piece by Claude Debussy, celebrated for its flowing arpeggios and delicate, dreamlike character.
-
E.
Pirouette
Pirouette is a rolled, crispy wafer cookie filled with sweet flavored cream, produced by Pepperidge Farm.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c217bc819092c517b27ca22087 |
completed | April 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fdbf4c8190a9177e87b65fc965 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c90c07a48190b0f23597124b5017 |
completed | May 16, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c97b33b481909e9b45b37cfe87b3 |
completed | May 16, 2026, 1:33 a.m. |
Created at: April 10, 2026, 1:49 p.m.