Triple
T23264315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Mary, Crazy Larry |
E582103
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Antonio Santean
Antonio Santean is a screenwriter best known for his work on the 1974 action film "Dirty Mary, Crazy Larry."
|
E1590638
|
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: Antonio Santean | Statement: [Dirty Mary, Crazy Larry, screenwriter, Antonio Santean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio Santean Context triple: [Dirty Mary, Crazy Larry, screenwriter, Antonio Santean]
-
A.
Antonio Passalia
Antonio Passalia is an actor known for his role in the French psychological thriller film "Le Boucher."
-
B.
Giovanni Anzaldo
Giovanni Anzaldo is an Italian actor known for his roles in contemporary Italian cinema and television.
-
C.
Antonio Monsellato
Antonio Monsellato is an actor known for his role in the Italian film "La cena di Natale."
-
D.
Antonio Udina
Antonio Udina, better known as Tuone Udaina, was the last known native speaker of the Dalmatian language, whose death in 1898 marked the extinction of the language.
-
E.
Antonio Parr
Antonio Parr is the introspective, often skeptical narrator and central figure in Frederick Buechner’s "The Book of Bebb" tetralogy, through whose eyes the eccentric evangelist Leo Bebb and his world are revealed.
- 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: Antonio Santean Triple: [Dirty Mary, Crazy Larry, screenwriter, Antonio Santean]
Generated description
Antonio Santean is a screenwriter best known for his work on the 1974 action film "Dirty Mary, Crazy Larry."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antonio Santean Target entity description: Antonio Santean is a screenwriter best known for his work on the 1974 action film "Dirty Mary, Crazy Larry."
-
A.
Antonio Passalia
Antonio Passalia is an actor known for his role in the French psychological thriller film "Le Boucher."
-
B.
Giovanni Anzaldo
Giovanni Anzaldo is an Italian actor known for his roles in contemporary Italian cinema and television.
-
C.
Antonio Monsellato
Antonio Monsellato is an actor known for his role in the Italian film "La cena di Natale."
-
D.
Antonio Udina
Antonio Udina, better known as Tuone Udaina, was the last known native speaker of the Dalmatian language, whose death in 1898 marked the extinction of the language.
-
E.
Antonio Parr
Antonio Parr is the introspective, often skeptical narrator and central figure in Frederick Buechner’s "The Book of Bebb" tetralogy, through whose eyes the eccentric evangelist Leo Bebb and his world are revealed.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf2ad70881909a287c5771a38f5d |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0ce1b65028819085db361355416229 |
completed | May 19, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce22ac5ac8190b708bb201fdf3af8 |
completed | May 19, 2026, 10:20 p.m. |
Created at: April 17, 2026, 4:11 p.m.