Triple
T19534765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Why |
E488740
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Carlos de la Garza |
—
|
NE NERFINISHED |
How this triple was built (2 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: Carlos de la Garza | Statement: [This Is Why, producer, Carlos de la Garza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlos de la Garza Context triple: [This Is Why, producer, Carlos de la Garza]
-
A.
Carlos de la Garza
chosen
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.
Oscar de la Garza
Oscar de la Garza is an individual notable enough to be recognized as a prominent bearer of the surname Garza.
-
C.
Eloy Garza
Eloy Garza is an individual notable enough to be recognized as a distinguished bearer of the surname Garza.
-
D.
Julián Augusto Saldívar
Julián Augusto Saldívar is a city located in Paraguay's Central Department.
-
E.
Carlos De León
Carlos De León was a Puerto Rican professional boxer best known as a multiple-time world cruiserweight champion and one of the division’s early dominant figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.