Triple
T13796546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keoma |
E331531
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Orso Maria Guerrini
Orso Maria Guerrini is an Italian actor known for his roles in Spaghetti Westerns and numerous Italian film and television productions.
|
E1450730
|
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: Orso Maria Guerrini | Statement: [Keoma, castMember, Orso Maria Guerrini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orso Maria Guerrini Context triple: [Keoma, castMember, Orso Maria Guerrini]
-
A.
Piero Malvestiti
Piero Malvestiti was an Italian politician and European statesman who played a key role in early European integration, including leadership within the institutions that preceded the European Union.
-
B.
Guido Quaroni
Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
-
C.
Fausto Callegarini
Fausto Callegarini is an actor known for appearing in the 2003 heist film "The Italian Job."
-
D.
Ettore de Rossi
Ettore de Rossi was an Italian general who commanded forces of the Italian Army in Russia (ARMIR) during World War II.
-
E.
Guido Carlesi
Guido Carlesi is an Italian former professional road cyclist known for his strong stage race performances in the early 1960s.
- 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: Orso Maria Guerrini Triple: [Keoma, castMember, Orso Maria Guerrini]
Generated description
Orso Maria Guerrini is an Italian actor known for his roles in Spaghetti Westerns and numerous Italian film and television productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orso Maria Guerrini Target entity description: Orso Maria Guerrini is an Italian actor known for his roles in Spaghetti Westerns and numerous Italian film and television productions.
-
A.
Piero Malvestiti
Piero Malvestiti was an Italian politician and European statesman who played a key role in early European integration, including leadership within the institutions that preceded the European Union.
-
B.
Guido Quaroni
Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
-
C.
Fausto Callegarini
Fausto Callegarini is an actor known for appearing in the 2003 heist film "The Italian Job."
-
D.
Ettore de Rossi
Ettore de Rossi was an Italian general who commanded forces of the Italian Army in Russia (ARMIR) during World War II.
-
E.
Guido Carlesi
Guido Carlesi is an Italian former professional road cyclist known for his strong stage race performances in the early 1960s.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f89f26f0819083c367fd8c24428c |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9683d6881909ce4e3e7e93b6e94 |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9cd9ce0819085c29707c274547c |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 9, 2026, 10:11 p.m.