Triple
T20006950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen |
E494483
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Francesca Inaudi
Francesca Inaudi is an Italian actress known for her work in film, television, and theater.
|
E1410374
|
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: Francesca Inaudi | Statement: [Zen, castMember, Francesca Inaudi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francesca Inaudi Context triple: [Zen, castMember, Francesca Inaudi]
-
A.
Silvia Franceschini
Silvia Franceschini is known primarily as the wife of Italian politician and former Minister of Culture Dario Franceschini.
-
B.
Francesca De Scaffa
Francesca De Scaffa was an actress best known for her marriage to American film actor Bruce Cabot.
-
C.
Francesca Leone
Francesca Leone is an Italian contemporary artist known for her large-scale mixed-media works that explore themes of urban decay, memory, and the human condition.
-
D.
Francesca Vanini
Francesca Vanini is a character in Jean-Luc Godard’s 1963 film "Le Mépris," appearing within its story of marital breakdown and the troubled production of a film adaptation of "The Odyssey."
-
E.
Manuela Testolini
Manuela Testolini is a Canadian businesswoman and philanthropist, known for founding the nonprofit In a Perfect World and for her previous marriage to musician Prince.
- 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: Francesca Inaudi Triple: [Zen, castMember, Francesca Inaudi]
Generated description
Francesca Inaudi is an Italian actress known for her work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francesca Inaudi Target entity description: Francesca Inaudi is an Italian actress known for her work in film, television, and theater.
-
A.
Silvia Franceschini
Silvia Franceschini is known primarily as the wife of Italian politician and former Minister of Culture Dario Franceschini.
-
B.
Francesca De Scaffa
Francesca De Scaffa was an actress best known for her marriage to American film actor Bruce Cabot.
-
C.
Francesca Leone
Francesca Leone is an Italian contemporary artist known for her large-scale mixed-media works that explore themes of urban decay, memory, and the human condition.
-
D.
Francesca Vanini
Francesca Vanini is a character in Jean-Luc Godard’s 1963 film "Le Mépris," appearing within its story of marital breakdown and the troubled production of a film adaptation of "The Odyssey."
-
E.
Manuela Testolini
Manuela Testolini is a Canadian businesswoman and philanthropist, known for founding the nonprofit In a Perfect World and for her previous marriage to musician Prince.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f296c208190bca5ec44af8db78c |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a081fcc025081909292799ee8abd779 |
completed | May 16, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08208c203c819083abea34d10d5e4e |
completed | May 16, 2026, 7:45 a.m. |
Created at: April 11, 2026, 3:33 p.m.