Triple
T9354866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margarita Maza de Juárez |
E225112
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
|
E793386
|
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: Maza | Statement: [Margarita Maza de Juárez, familyName, Maza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maza Context triple: [Margarita Maza de Juárez, familyName, Maza]
-
A.
Gamocha
Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
-
B.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
C.
Wazuka
Wazuka is a rural town in Kyoto Prefecture, Japan, renowned for its historic tea fields and high-quality Uji tea production.
-
D.
Bira
Bira is a coastal village in South Sulawesi, Indonesia, renowned as a traditional boatbuilding center where skilled craftsmen construct the iconic wooden pinisi sailing ships.
-
E.
Shotti
Shotti is the street name of Kifano Jordan, a prominent member and former manager associated with rapper 6ix9ine and the Nine Trey Gangsta Bloods gang.
- 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: Maza Triple: [Margarita Maza de Juárez, familyName, Maza]
Generated description
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maza Target entity description: Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
-
A.
Gamocha
Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
-
B.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
C.
Wazuka
Wazuka is a rural town in Kyoto Prefecture, Japan, renowned for its historic tea fields and high-quality Uji tea production.
-
D.
Bira
Bira is a coastal village in South Sulawesi, Indonesia, renowned as a traditional boatbuilding center where skilled craftsmen construct the iconic wooden pinisi sailing ships.
-
E.
Shotti
Shotti is the street name of Kifano Jordan, a prominent member and former manager associated with rapper 6ix9ine and the Nine Trey Gangsta Bloods gang.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f99205c8190a5ad95926ef25497 |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e458a24881909a032553ce8a45fe |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5760c0c8190b01a36772cea3058 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e616d350819086465c7e491b6e62 |
completed | April 4, 2026, 10:21 a.m. |
Created at: March 30, 2026, 7:42 p.m.