Triple
T22390480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuelve |
E553497
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object | Lola, Lola |
—
|
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: Lola, Lola | Statement: [Vuelve, includesTrack, Lola, Lola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lola, Lola Context triple: [Vuelve, includesTrack, Lola, Lola]
-
A.
Lola in Lola
Lola in "Lola" is the enigmatic cabaret singer and central figure of Jacques Demy’s 1961 French New Wave film, around whom the intertwined romantic lives of several characters revolve.
-
B.
Lola Lola
chosen
Lola Lola is the seductive cabaret singer portrayed by Marlene Dietrich in the classic 1930 German film "The Blue Angel."
-
C.
Ooh La La
Ooh La La is a 1973 rock album by the British band Faces, featuring Ronnie Wood and known for its blend of bluesy rock and reflective, bittersweet songs.
-
D.
Ooh La La
"Ooh La La" is a hip-hop single by the duo Run the Jewels, known for its catchy, old-school-inspired production and politically charged lyrics.
-
E.
La-La-La
"La-La-La" is a musical composition by renowned American composer Richard Rodgers, best known for his influential contributions to 20th-century musical theatre.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.