Triple
T12947533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuck in Love |
E309807
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Liana Liberato |
E460271
|
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: Liana Liberato | Statement: [Stuck in Love, stars, Liana Liberato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liana Liberato Context triple: [Stuck in Love, stars, Liana Liberato]
-
A.
Liana Liberato
chosen
Liana Liberato is an American actress known for her roles in films such as "Trust," "If I Stay," and "The Best of Me," as well as various television series.
-
B.
Luisana Lopilato
Luisana Lopilato is an Argentine actress and model known for her roles in popular telenovelas and films, as well as for her international public profile.
-
C.
Liza Lapira
Liza Lapira is an American actress known for her work in film and television, including roles in series like "NCIS," "Dollhouse," and "The Equalizer."
-
D.
Tessa Ferrer
Tessa Ferrer is an American actress best known for her role as Dr. Leah Murphy on the medical drama series "Grey's Anatomy."
-
E.
Tania Libertad
Tania Libertad is a renowned Peruvian-Mexican singer celebrated for her powerful voice and interpretations of Latin American genres such as bolero, nueva canción, and Afro-Peruvian music.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af75bc04819098d98c47fca48ac9 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.