Triple
T16009781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariyon Bakare |
E388307
|
entity |
| Predicate | playedRole |
P3512
|
FINISHED |
| Object |
Leandro
Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
|
E1189674
|
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: Leandro | Statement: [Ariyon Bakare, playedRole, Leandro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leandro Context triple: [Ariyon Bakare, playedRole, Leandro]
-
A.
Leandro
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
B.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
C.
Marcio
Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
-
D.
Reinaldo
Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
-
E.
Murilo
Murilo is a small coral atoll in the Hall Islands of Chuuk State, Federated States of Micronesia, known for its traditional Micronesian community and remote Pacific setting.
- 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: Leandro Triple: [Ariyon Bakare, playedRole, Leandro]
Generated description
Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leandro Target entity description: Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
-
A.
Leandro
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
B.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
C.
Marcio
Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
-
D.
Reinaldo
Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
-
E.
Murilo
Murilo is a small coral atoll in the Hall Islands of Chuuk State, Federated States of Micronesia, known for its traditional Micronesian community and remote Pacific setting.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828f8c688190a6b365f9140cd2d8 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf24a9d8819083d7b11d71442da6 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd065cb948190b0ad7e89a12ce535 |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1a52de08190a7b283af83be1f42 |
completed | May 10, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:55 a.m.