Triple
T8235693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garza |
E192398
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tony Garza
Tony Garza is an American attorney and former U.S. Ambassador to Mexico known for his work in diplomacy and U.S.–Mexico relations.
|
E786693
|
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: Tony Garza | Statement: [Garza, hasNotableBearer, Tony Garza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Garza Context triple: [Garza, hasNotableBearer, Tony Garza]
-
A.
Emilio Garza
Emilio Garza was a United States federal judge who served on the U.S. Court of Appeals for the Fifth Circuit and was at one point considered a potential nominee to the Supreme Court.
-
B.
Jaime Garza
Jaime Garza is a Mexican actor best known for his work in telenovelas and films during the late 20th century.
-
C.
Eloy Garza
Eloy Garza is an individual notable enough to be recognized as a distinguished bearer of the surname Garza.
-
D.
Joe Garza
Joe Garza is a relatively obscure individual whose name is shared with several people, including professionals in fields such as law, politics, and the arts.
-
E.
Alex Garcia
Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
- 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: Tony Garza Triple: [Garza, hasNotableBearer, Tony Garza]
Generated description
Tony Garza is an American attorney and former U.S. Ambassador to Mexico known for his work in diplomacy and U.S.–Mexico relations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Garza Target entity description: Tony Garza is an American attorney and former U.S. Ambassador to Mexico known for his work in diplomacy and U.S.–Mexico relations.
-
A.
Emilio Garza
Emilio Garza was a United States federal judge who served on the U.S. Court of Appeals for the Fifth Circuit and was at one point considered a potential nominee to the Supreme Court.
-
B.
Jaime Garza
Jaime Garza is a Mexican actor best known for his work in telenovelas and films during the late 20th century.
-
C.
Eloy Garza
Eloy Garza is an individual notable enough to be recognized as a distinguished bearer of the surname Garza.
-
D.
Joe Garza
Joe Garza is a relatively obscure individual whose name is shared with several people, including professionals in fields such as law, politics, and the arts.
-
E.
Alex Garcia
Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
- 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_69d076fe8448819087e12ffe4d5bdf3c |
completed | April 4, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_69d07bdc462881909dfdf22f319313e7 |
completed | April 4, 2026, 2:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07c2f6a888190ad0aa994ba3617d2 |
completed | April 4, 2026, 2:49 a.m. |
Created at: March 30, 2026, 5:46 p.m.