Triple
T15437138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss of the Dragon |
E369793
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Marco Cavé
Marco Cavé is a film editor known for his work on the action movie "Kiss of the Dragon."
|
E1158938
|
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: Marco Cavé | Statement: [Kiss of the Dragon, editedBy, Marco Cavé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marco Cavé Context triple: [Kiss of the Dragon, editedBy, Marco Cavé]
-
A.
Alberto Cavos
Alberto Cavos was a 19th-century Russian-Italian architect best known for designing and reconstructing major imperial theaters in Russia, including the Bolshoi Theatre in Moscow and the Mariinsky Theatre in Saint Petersburg.
-
B.
Marco Barricelli
Marco Barricelli is an Italian-American actor and theatre director known for his work on stage and in voice roles for film and television.
-
C.
Johan Cavalli
Johan Cavalli is a retired French midfielder best known for his long and influential spell at AC Ajaccio, where he became a key figure and fan favorite.
-
D.
Patrick de Carolis
Patrick de Carolis is a French journalist and television executive who became the mayor of Arles.
-
E.
Leonardo Celi
Leonardo Celi is the son of renowned Italian actor and director Adolfo Celi.
- 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: Marco Cavé Triple: [Kiss of the Dragon, editedBy, Marco Cavé]
Generated description
Marco Cavé is a film editor known for his work on the action movie "Kiss of the Dragon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marco Cavé Target entity description: Marco Cavé is a film editor known for his work on the action movie "Kiss of the Dragon."
-
A.
Alberto Cavos
Alberto Cavos was a 19th-century Russian-Italian architect best known for designing and reconstructing major imperial theaters in Russia, including the Bolshoi Theatre in Moscow and the Mariinsky Theatre in Saint Petersburg.
-
B.
Marco Barricelli
Marco Barricelli is an Italian-American actor and theatre director known for his work on stage and in voice roles for film and television.
-
C.
Johan Cavalli
Johan Cavalli is a retired French midfielder best known for his long and influential spell at AC Ajaccio, where he became a key figure and fan favorite.
-
D.
Patrick de Carolis
Patrick de Carolis is a French journalist and television executive who became the mayor of Arles.
-
E.
Leonardo Celi
Leonardo Celi is the son of renowned Italian actor and director Adolfo Celi.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf7ce7c8190810ef35b6e37254d |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2e1fb27c81908de0d755bf30c833 |
completed | May 9, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2f3ab6988190b4cefe2f55c4101c |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 10, 2026, 3:21 a.m.