Triple
T20493292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caer en tentación |
E502801
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Ana Ciocchetti
Ana Ciocchetti is a Mexican actress known for her work in telenovelas and television dramas.
|
E1443537
|
NE FINISHED |
How this triple was built (4 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: Ana Ciocchetti | Statement: [Caer en tentación, castMember, Ana Ciocchetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ana Ciocchetti Context triple: [Caer en tentación, castMember, Ana Ciocchetti]
-
A.
Cristina Cacciotti
Cristina Cacciotti is the daughter of the late Emmy-winning American actress Valerie Harper and her husband, actor Tony Cacciotti.
-
B.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
-
C.
Silvia Franceschini
Silvia Franceschini is known primarily as the wife of Italian politician and former Minister of Culture Dario Franceschini.
-
D.
Lorenza Mazzetti
Lorenza Mazzetti was an Italian-born filmmaker and writer who became a pioneering voice in British Free Cinema through her innovative, low-budget, socially conscious films.
-
E.
Ilaria Occhini
Ilaria Occhini was an Italian actress known for her extensive work in film, television, and theater, often praised for her elegant and nuanced performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ana Ciocchetti Triple: [Caer en tentación, castMember, Ana Ciocchetti]
Generated description
Ana Ciocchetti is a Mexican actress known for her work in telenovelas and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ana Ciocchetti Target entity description: Ana Ciocchetti is a Mexican actress known for her work in telenovelas and television dramas.
-
A.
Cristina Cacciotti
Cristina Cacciotti is the daughter of the late Emmy-winning American actress Valerie Harper and her husband, actor Tony Cacciotti.
-
B.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
-
C.
Silvia Franceschini
Silvia Franceschini is known primarily as the wife of Italian politician and former Minister of Culture Dario Franceschini.
-
D.
Lorenza Mazzetti
Lorenza Mazzetti was an Italian-born filmmaker and writer who became a pioneering voice in British Free Cinema through her innovative, low-budget, socially conscious films.
-
E.
Ilaria Occhini
Ilaria Occhini was an Italian actress known for her extensive work in film, television, and theater, often praised for her elegant and nuanced performances.
- F. None of above. chosen
Provenance (5 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd474d488190936ea776ee43f50c |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d174278481909db394da2a7ff969 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:35 a.m.