Triple
T8731277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hunchback of Notre Dame (1956 film) |
E207259
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
André Versini
André Versini was a French actor and screenwriter known for his roles in mid-20th-century French cinema.
|
E761322
|
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: André Versini | Statement: [The Hunchback of Notre Dame (1956 film), castMember, André Versini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Versini Context triple: [The Hunchback of Notre Dame (1956 film), castMember, André Versini]
-
A.
Bernardo Fergioni
Bernardo Fergioni was an Italian painter and teacher active in the 18th century, best known today as the early mentor of the renowned marine painter Joseph Vernet.
-
B.
Rinaldo Melucci
Rinaldo Melucci is an Italian politician best known for serving as the mayor of the city of Taranto.
-
C.
Giulio Petroni
Giulio Petroni was an Italian film director best known for his influential work in the Spaghetti Western genre during the 1960s and 1970s.
-
D.
Guido Saracco
Guido Saracco is an Italian chemical engineer and academic who serves as rector of the Polytechnic University of Turin.
-
E.
Fabio Conversi
Fabio Conversi is an Italian film producer best known for his work on acclaimed art-house and auteur-driven films, including the Oscar-winning "The Great Beauty."
- 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: André Versini Triple: [The Hunchback of Notre Dame (1956 film), castMember, André Versini]
Generated description
André Versini was a French actor and screenwriter known for his roles in mid-20th-century French cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: André Versini Target entity description: André Versini was a French actor and screenwriter known for his roles in mid-20th-century French cinema.
-
A.
Bernardo Fergioni
Bernardo Fergioni was an Italian painter and teacher active in the 18th century, best known today as the early mentor of the renowned marine painter Joseph Vernet.
-
B.
Rinaldo Melucci
Rinaldo Melucci is an Italian politician best known for serving as the mayor of the city of Taranto.
-
C.
Giulio Petroni
Giulio Petroni was an Italian film director best known for his influential work in the Spaghetti Western genre during the 1960s and 1970s.
-
D.
Guido Saracco
Guido Saracco is an Italian chemical engineer and academic who serves as rector of the Polytechnic University of Turin.
-
E.
Fabio Conversi
Fabio Conversi is an Italian film producer best known for his work on acclaimed art-house and auteur-driven films, including the Oscar-winning "The Great Beauty."
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf88dc7ba88190865957c8d344fa00 |
completed | April 3, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69cf8bb6d7dc8190a91864130513fa4e |
completed | April 3, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8ca3e2788190a33fb28132944759 |
completed | April 3, 2026, 9:47 a.m. |
Created at: March 30, 2026, 6:37 p.m.