Triple
T23017217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramiro III of León |
E573063
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Teresa Ansúrez
Teresa Ansúrez was a 10th-century queen consort of León and influential noblewoman in the Kingdom of León.
|
E1579996
|
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: Teresa Ansúrez | Statement: [Ramiro III of León, mother, Teresa Ansúrez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Ansúrez Context triple: [Ramiro III of León, mother, Teresa Ansúrez]
-
A.
Pilar García
Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
-
B.
Inma Cuesta
Inma Cuesta is a Spanish actress known for her work in film, television, and theater, often acclaimed for her dramatic roles in contemporary Spanish cinema.
-
C.
Montse Hernandez
Montse Hernandez is an American voice actress and actress best known for voicing Gwen Tennyson in the animated series "Ben 10" (2016).
-
D.
Teresa Ruiz
Teresa Ruiz is a Mexican actress best known internationally for her prominent role in the crime drama series "Narcos: Mexico."
-
E.
Teresa Barba
Teresa Barba was the wife and close companion of renowned Catalan painter and sculptor Antoni Tàpies.
- 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: Teresa Ansúrez Triple: [Ramiro III of León, mother, Teresa Ansúrez]
Generated description
Teresa Ansúrez was a 10th-century queen consort of León and influential noblewoman in the Kingdom of León.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teresa Ansúrez Target entity description: Teresa Ansúrez was a 10th-century queen consort of León and influential noblewoman in the Kingdom of León.
-
A.
Pilar García
Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
-
B.
Inma Cuesta
Inma Cuesta is a Spanish actress known for her work in film, television, and theater, often acclaimed for her dramatic roles in contemporary Spanish cinema.
-
C.
Montse Hernandez
Montse Hernandez is an American voice actress and actress best known for voicing Gwen Tennyson in the animated series "Ben 10" (2016).
-
D.
Teresa Ruiz
Teresa Ruiz is a Mexican actress best known internationally for her prominent role in the crime drama series "Narcos: Mexico."
-
E.
Teresa Barba
Teresa Barba was the wife and close companion of renowned Catalan painter and sculptor Antoni Tàpies.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e59a1c8190b8048a399a4727cb |
completed | April 29, 2026, 4:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c6707e48190929999ee18b13e14 |
completed | May 19, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a0c4f85bd6c81909b502e894c86f89f |
completed | May 19, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4fee28188190b5e2732f37d4a14d |
completed | May 19, 2026, 11:56 a.m. |
Created at: April 17, 2026, 3:52 p.m.