Triple
T8235689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garza |
E192398
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Juan Garza
Juan Garza is a relatively common Hispanic personal name that may refer to multiple individuals, including figures in politics, sports, and other public spheres.
|
E723992
|
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: Juan Garza | Statement: [Garza, hasNotableBearer, Juan Garza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Garza Context triple: [Garza, hasNotableBearer, Juan Garza]
-
A.
Carlos de la Garza
Carlos de la Garza is a Grammy-winning American record producer, mixer, and engineer known for his work with prominent rock, punk, and alternative artists.
-
B.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
-
C.
Eugenio Garza Sada
Eugenio Garza Sada was a prominent Mexican industrialist and philanthropist who played a key role in modernizing Mexico’s business sector and advancing private higher education.
-
D.
Raúl Dávalos
Raúl Dávalos is an editor known for his work on the film "Cronos."
-
E.
Charles A. González
Charles A. González is an American politician and former U.S. Representative from Texas who succeeded his father Henry B. González in Congress.
- 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: Juan Garza Triple: [Garza, hasNotableBearer, Juan Garza]
Generated description
Juan Garza is a relatively common Hispanic personal name that may refer to multiple individuals, including figures in politics, sports, and other public spheres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Garza Target entity description: Juan Garza is a relatively common Hispanic personal name that may refer to multiple individuals, including figures in politics, sports, and other public spheres.
-
A.
Carlos de la Garza
Carlos de la Garza is a Grammy-winning American record producer, mixer, and engineer known for his work with prominent rock, punk, and alternative artists.
-
B.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
-
C.
Eugenio Garza Sada
Eugenio Garza Sada was a prominent Mexican industrialist and philanthropist who played a key role in modernizing Mexico’s business sector and advancing private higher education.
-
D.
Raúl Dávalos
Raúl Dávalos is an editor known for his work on the film "Cronos."
-
E.
Charles A. González
Charles A. González is an American politician and former U.S. Representative from Texas who succeeded his father Henry B. González in Congress.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782a5e18819096235679f5a644a8 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd67f7dcec81909b74fd2da3609fc3 |
completed | April 1, 2026, 6:46 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7dd65fac8190b8f44b1cf2be7bdd |
completed | April 1, 2026, 8:19 p.m. |
Created at: March 30, 2026, 5:46 p.m.