Triple
T13776466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Mix |
E331018
|
entity |
| Predicate | secondAlbum |
P6981
|
FINISHED |
| Object | Salute |
E1059752
|
NE FINISHED |
How this triple was built (2 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: Salute | Statement: [Little Mix, secondAlbum, Salute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salute Context triple: [Little Mix, secondAlbum, Salute]
-
A.
Salute
"Salute" is a 1929 American drama film directed by John Ford, set against the backdrop of the Army–Navy football rivalry.
-
B.
Salute
chosen
"Salute" is the second studio album by British girl group Little Mix, known for its powerful vocal performances and themes of female empowerment.
-
C.
Salute
"Salute" is a song by Whitney Houston featured on her 2009 album *I Look to You*.
-
D.
Salute
Salute is a premium lingerie brand under the Japanese company Wacoal, known for its elegant, decorative, and fashion-forward intimate apparel designs.
-
E.
Honor to Us All
"Honor to Us All" is a musical number from Disney's animated film Mulan that introduces the expectations of traditional femininity placed on the heroine as she prepares to meet the matchmaker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07460c081908b3836a3ec382961 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:10 p.m.