Triple
T14264555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grupo Cisneros |
E353610
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object |
Adriana Cisneros
Adriana Cisneros is a Venezuelan business executive and media heiress who serves as CEO of the multinational conglomerate Cisneros.
|
E1157591
|
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: Adriana Cisneros | Statement: [Grupo Cisneros, hasKeyPerson, Adriana Cisneros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adriana Cisneros Context triple: [Grupo Cisneros, hasKeyPerson, Adriana Cisneros]
-
A.
Patricia Arellano
Patricia Arellano is a person notable enough to be recognized as a bearer of the surname Arellano.
-
B.
Teresa Mendoza
Teresa Mendoza is a resilient Mexican woman who rises from a poor background to become a powerful drug cartel leader in the crime drama "Queen of the South."
-
C.
Teresa Arellano
Teresa Arellano is a person notable enough to be recognized as a distinguished bearer of the surname Arellano.
-
D.
Elena Flores
Elena Flores is a Spanish politician who succeeded Marta Fernández Miranda in public office.
-
E.
Cecilia Muñoz
Cecilia Muñoz is an American public policy expert and former Obama administration official known for her leadership on immigration and domestic policy issues.
- 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: Adriana Cisneros Triple: [Grupo Cisneros, hasKeyPerson, Adriana Cisneros]
Generated description
Adriana Cisneros is a Venezuelan business executive and media heiress who serves as CEO of the multinational conglomerate Cisneros.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adriana Cisneros Target entity description: Adriana Cisneros is a Venezuelan business executive and media heiress who serves as CEO of the multinational conglomerate Cisneros.
-
A.
Patricia Arellano
Patricia Arellano is a person notable enough to be recognized as a bearer of the surname Arellano.
-
B.
Teresa Mendoza
Teresa Mendoza is a resilient Mexican woman who rises from a poor background to become a powerful drug cartel leader in the crime drama "Queen of the South."
-
C.
Teresa Arellano
Teresa Arellano is a person notable enough to be recognized as a distinguished bearer of the surname Arellano.
-
D.
Elena Flores
Elena Flores is a Spanish politician who succeeded Marta Fernández Miranda in public office.
-
E.
Cecilia Muñoz
Cecilia Muñoz is an American public policy expert and former Obama administration official known for her leadership on immigration and domestic policy issues.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218b93d48190a7e16c3934828aa8 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff227b0060819092a08c897719849c |
completed | May 9, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff238c841c8190b1a88aeb8c428cbc |
completed | May 9, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:09 a.m.