Triple
T14521025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Waters |
E340650
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Mario Correa
Mario Correa is a screenwriter best known for co-writing the legal thriller film "Dark Waters."
|
E1129328
|
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: Mario Correa | Statement: [Dark Waters, screenwriter, Mario Correa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Correa Context triple: [Dark Waters, screenwriter, Mario Correa]
-
A.
Álvaro Rodríguez
Álvaro Rodríguez is a screenwriter best known for his work on genre films, including contributions to the From Dusk Till Dawn franchise.
-
B.
Oscar Martinez
Oscar Martinez is a fictional accountant on the U.S. version of "The Office," known for his intelligence, dry wit, and often being the voice of reason among his eccentric coworkers.
-
C.
Luisangel Acuña
Luisangel Acuña is a Venezuelan professional baseball infielder and notable prospect, recognized as the younger brother of MLB star Ronald Acuña Jr.
-
D.
Jorge Romo
Jorge Romo is a notable individual recognized for achievements significant enough to be associated with the surname Romo.
-
E.
Francos Rodríguez
Francos Rodríguez is a Madrid Metro station on Line 7 serving the Francos Rodríguez area in the Spanish capital.
- 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: Mario Correa Triple: [Dark Waters, screenwriter, Mario Correa]
Generated description
Mario Correa is a screenwriter best known for co-writing the legal thriller film "Dark Waters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mario Correa Target entity description: Mario Correa is a screenwriter best known for co-writing the legal thriller film "Dark Waters."
-
A.
Álvaro Rodríguez
Álvaro Rodríguez is a screenwriter best known for his work on genre films, including contributions to the From Dusk Till Dawn franchise.
-
B.
Oscar Martinez
Oscar Martinez is a fictional accountant on the U.S. version of "The Office," known for his intelligence, dry wit, and often being the voice of reason among his eccentric coworkers.
-
C.
Luisangel Acuña
Luisangel Acuña is a Venezuelan professional baseball infielder and notable prospect, recognized as the younger brother of MLB star Ronald Acuña Jr.
-
D.
Jorge Romo
Jorge Romo is a notable individual recognized for achievements significant enough to be associated with the surname Romo.
-
E.
Francos Rodríguez
Francos Rodríguez is a Madrid Metro station on Line 7 serving the Francos Rodríguez area in the Spanish capital.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bbfc6048190897f064a5686ebf8 |
completed | May 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69fe8cfd57dc81909ba5789fefa0092c |
completed | May 9, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8d955d2c819087bb42e644478fbe |
completed | May 9, 2026, 1:27 a.m. |
Created at: April 10, 2026, 1:22 a.m.