Triple
T11996348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amores perros |
E285539
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Luis Carballar
Luis Carballar is a film editor best known for his work on the acclaimed Mexican drama "Amores perros."
|
E1011305
|
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: Luis Carballar | Statement: [Amores perros, editedBy, Luis Carballar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Carballar Context triple: [Amores perros, editedBy, Luis Carballar]
-
A.
Luis García
Luis García is a common Spanish name shared by several notable figures, including professional footballers, a baseball player, and other public personalities.
-
B.
Cristo Fernández
Cristo Fernández is a Mexican actor and former professional footballer best known for playing the exuberant footballer Dani Rojas on the television series "Ted Lasso."
-
C.
Gustavo Gimeno
Gustavo Gimeno is a Spanish conductor known for his dynamic interpretations and leadership of major international orchestras.
-
D.
Jesús Narro
Jesús Narro was a Mexican actor known for his role in Luis Buñuel’s landmark 1950 film "Los Olvidados."
-
E.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
- 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: Luis Carballar Triple: [Amores perros, editedBy, Luis Carballar]
Generated description
Luis Carballar is a film editor best known for his work on the acclaimed Mexican drama "Amores perros."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Carballar Target entity description: Luis Carballar is a film editor best known for his work on the acclaimed Mexican drama "Amores perros."
-
A.
Luis García
Luis García is a common Spanish name shared by several notable figures, including professional footballers, a baseball player, and other public personalities.
-
B.
Cristo Fernández
Cristo Fernández is a Mexican actor and former professional footballer best known for playing the exuberant footballer Dani Rojas on the television series "Ted Lasso."
-
C.
Gustavo Gimeno
Gustavo Gimeno is a Spanish conductor known for his dynamic interpretations and leadership of major international orchestras.
-
D.
Jesús Narro
Jesús Narro was a Mexican actor known for his role in Luis Buñuel’s landmark 1950 film "Los Olvidados."
-
E.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c172788190b92042e9d10a48bf |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3b91288190ab2df6103bfa5a91 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b115720481908796955032043530 |
completed | May 3, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ea3d288190875888be8356da48 |
completed | May 3, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:46 p.m.