Triple
T22229483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Misérables 10th Anniversary Concert |
E549428
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Stars |
—
|
NE NERFINISHED |
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: Stars | Statement: [Les Misérables 10th Anniversary Concert, featuresSong, Stars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stars Context triple: [Les Misérables 10th Anniversary Concert, featuresSong, Stars]
-
A.
Stars
Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
-
B.
Stars
chosen
"Stars" is a powerful solo ballad from the musical Les Misérables, sung by Inspector Javert as he reflects on his rigid belief in justice and divine order.
-
C.
Stars
"Stars" is a 1991 pop-soul album by British band Simply Red, known for its smooth, melodic sound and significant commercial success.
-
D.
Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
-
E.
Star
Star is the young orphaned girl who is rescued and raised by a lighthouse keeper in the 1936 film "Captain January."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.