Triple
T14990421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Prada to Nada |
E373819
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Craig Fernandez
Craig Fernandez is a screenwriter best known for co-writing the romantic comedy film "From Prada to Nada."
|
E1131554
|
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: Craig Fernandez | Statement: [From Prada to Nada, screenwriter, Craig Fernandez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Fernandez Context triple: [From Prada to Nada, screenwriter, Craig Fernandez]
-
A.
Jack Ferreira
Jack Ferreira is an American ice hockey executive best known for building and leading NHL expansion franchises, including serving as the first general manager of the Mighty Ducks of Anaheim.
-
B.
Chris Leal
Chris Leal is a musician best known for having been an early member of the American rock band No Doubt.
-
C.
Craig Ventresco
Craig Ventresco is an American guitarist renowned for his virtuosic revival of early 20th-century ragtime, jazz, and blues styles, often featured in film soundtracks and vintage music circles.
-
D.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
E.
Evan Cortez
Evan Cortez is a recurring police inspector and close colleague of the title character in the crime drama television series "Nash Bridges."
- 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: Craig Fernandez Triple: [From Prada to Nada, screenwriter, Craig Fernandez]
Generated description
Craig Fernandez is a screenwriter best known for co-writing the romantic comedy film "From Prada to Nada."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Fernandez Target entity description: Craig Fernandez is a screenwriter best known for co-writing the romantic comedy film "From Prada to Nada."
-
A.
Jack Ferreira
Jack Ferreira is an American ice hockey executive best known for building and leading NHL expansion franchises, including serving as the first general manager of the Mighty Ducks of Anaheim.
-
B.
Chris Leal
Chris Leal is a musician best known for having been an early member of the American rock band No Doubt.
-
C.
Craig Ventresco
Craig Ventresco is an American guitarist renowned for his virtuosic revival of early 20th-century ragtime, jazz, and blues styles, often featured in film soundtracks and vintage music circles.
-
D.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
E.
Evan Cortez
Evan Cortez is a recurring police inspector and close colleague of the title character in the crime drama television series "Nash Bridges."
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98a230948190b35e2883475cff33 |
completed | May 9, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 2:53 a.m.