Triple
T20774578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian De Sica |
E511320
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Borotalco
Borotalco is a 1982 Italian comedy film directed by Carlo Verdone, widely regarded as a cult classic in Italian cinema.
|
E1449466
|
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: Borotalco | Statement: [Christian De Sica, notableWork, Borotalco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borotalco Context triple: [Christian De Sica, notableWork, Borotalco]
-
A.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
B.
Benetint
Benetint is a cult-favorite rose-tinted lip and cheek stain from Benefit Cosmetics known for its sheer, long-lasting, natural-looking flush.
-
C.
Skoal
Skoal is a leading U.S. smokeless tobacco brand best known for its moist snuff products.
-
D.
Cicaplast
Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
-
E.
Caph
Caph is a bright F-type giant star in the constellation Cassiopeia, notable as one of the prominent stars forming its characteristic "W" shape.
- 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: Borotalco Triple: [Christian De Sica, notableWork, Borotalco]
Generated description
Borotalco is a 1982 Italian comedy film directed by Carlo Verdone, widely regarded as a cult classic in Italian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borotalco Target entity description: Borotalco is a 1982 Italian comedy film directed by Carlo Verdone, widely regarded as a cult classic in Italian cinema.
-
A.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
B.
Benetint
Benetint is a cult-favorite rose-tinted lip and cheek stain from Benefit Cosmetics known for its sheer, long-lasting, natural-looking flush.
-
C.
Skoal
Skoal is a leading U.S. smokeless tobacco brand best known for its moist snuff products.
-
D.
Cicaplast
Cicaplast is La Roche-Posay’s skin-repair line formulated to soothe, protect, and support the healing of sensitive or damaged skin.
-
E.
Caph
Caph is a bright F-type giant star in the constellation Cassiopeia, notable as one of the prominent stars forming its characteristic "W" shape.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26a39bc81909ca5d102056d8586 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef95f3d0819088cab88673d49c28 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f015f37081909e7202a76a5814ea |
completed | May 16, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f07dfb208190b00ad28d62e21de4 |
completed | May 16, 2026, 10:32 p.m. |
Created at: April 16, 2026, 12:37 p.m.