Triple
T17232055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora |
E418263
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Luis Molina
Luis Molina is a relatively obscure individual primarily known through his association with the entity Aurora.
|
E1368504
|
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 Molina | Statement: [Aurora, associatedWith, Luis Molina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Molina Context triple: [Aurora, associatedWith, Luis Molina]
-
A.
José Francisco Molina
José Francisco Molina is a former Spanish goalkeeper who became a football manager, known for his playing career with clubs like Atlético Madrid and Deportivo La Coruña and later coaching roles in Spain and abroad.
-
B.
Pablo Morillo
Pablo Morillo was a Spanish general and colonial officer best known for leading royalist forces in Latin America’s independence wars, particularly in Venezuela and New Granada.
-
C.
Luis Tovar
Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
-
D.
Jorge Ochoa
Jorge Ochoa is a Colombian drug trafficker best known as one of the founding leaders of the Medellín Cartel.
-
E.
Luis Varela
Luis Varela is a Spanish actor known for his extensive work in film, television, and theater.
- 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 Molina Triple: [Aurora, associatedWith, Luis Molina]
Generated description
Luis Molina is a relatively obscure individual primarily known through his association with the entity Aurora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Molina Target entity description: Luis Molina is a relatively obscure individual primarily known through his association with the entity Aurora.
-
A.
José Francisco Molina
José Francisco Molina is a former Spanish goalkeeper who became a football manager, known for his playing career with clubs like Atlético Madrid and Deportivo La Coruña and later coaching roles in Spain and abroad.
-
B.
Pablo Morillo
Pablo Morillo was a Spanish general and colonial officer best known for leading royalist forces in Latin America’s independence wars, particularly in Venezuela and New Granada.
-
C.
Luis Tovar
Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
-
D.
Jorge Ochoa
Jorge Ochoa is a Colombian drug trafficker best known as one of the founding leaders of the Medellín Cartel.
-
E.
Luis Varela
Luis Varela is a Spanish actor known for his extensive work in film, television, and theater.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071433204c819086b3c7263352dc1b |
completed | May 15, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0714c3099c81909b009fe952d0de81 |
completed | May 15, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07152aafb48190a767005628c6380a |
completed | May 15, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:39 a.m.