Triple
T8571920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Molina Mazariegos |
E202945
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mazariegos
Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
|
E752766
|
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: Mazariegos | Statement: [Pedro Molina Mazariegos, familyName, Mazariegos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazariegos Context triple: [Pedro Molina Mazariegos, familyName, Mazariegos]
-
A.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
-
B.
Albizu Campos
Albizu Campos is the surname of Pedro Albizu Campos, a prominent Puerto Rican nationalist leader and advocate for the island’s independence in the mid-20th century.
-
C.
José Miguel
José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
-
D.
Fernando Medina
Fernando Medina is a Portuguese economist and politician who served as Mayor of Lisbon and later became Portugal’s Minister of Finance.
-
E.
Enrique Murciano
Enrique Murciano is an American actor best known for his role as FBI agent Danny Taylor on the television series "Without a Trace."
- 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: Mazariegos Triple: [Pedro Molina Mazariegos, familyName, Mazariegos]
Generated description
Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazariegos Target entity description: Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
-
A.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
-
B.
Albizu Campos
Albizu Campos is the surname of Pedro Albizu Campos, a prominent Puerto Rican nationalist leader and advocate for the island’s independence in the mid-20th century.
-
C.
José Miguel
José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
-
D.
Fernando Medina
Fernando Medina is a Portuguese economist and politician who served as Mayor of Lisbon and later became Portugal’s Minister of Finance.
-
E.
Enrique Murciano
Enrique Murciano is an American actor best known for his role as FBI agent Danny Taylor on the television series "Without a Trace."
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea43843c8190ac2224d427bb7a75 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf281edc348190a0c7e82dc4cb15c6 |
completed | April 3, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69cf2a6a91d48190aa7d45b0a010f261 |
completed | April 3, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c0aace08190aca839c39e718c52 |
completed | April 3, 2026, 2:55 a.m. |
Created at: March 30, 2026, 6:21 p.m.