Triple
T14655721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julieta |
E344101
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Emma Suárez |
E1098440
|
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: Emma Suárez | Statement: [Julieta, stars, Emma Suárez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Suárez Context triple: [Julieta, stars, Emma Suárez]
-
A.
Emma Suárez
chosen
Emma Suárez is a Spanish film and television actress acclaimed for her intense, nuanced performances in both arthouse and mainstream cinema.
-
B.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
C.
Delfina Suárez
Delfina Suárez is the daughter of Uruguayan footballer Luis Suárez, occasionally appearing in media and public events alongside her father.
-
D.
Aitana Sánchez-Gijón
Aitana Sánchez-Gijón is a Spanish-Italian actress known for her work in both European and international cinema, including prominent roles in psychological thrillers and literary adaptations.
-
E.
Luna Lauren Vélez
Luna Lauren Vélez is an American actress known for her roles in television series like "Dexter" and "New York Undercover" and for voicing Rio Morales in "Spider-Man: Into the Spider-Verse."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5de0b98819094c32765e4cb3f9c |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.