Triple
T16034212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tita De la Garza |
E388925
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | De la Garza |
E388924
|
NE FINISHED |
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: De la Garza | Statement: [Tita De la Garza, familyName, De la Garza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De la Garza Context triple: [Tita De la Garza, familyName, De la Garza]
-
A.
De la Garza
chosen
De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
-
B.
Del Rio
Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
-
C.
Álamos
Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
-
D.
Escobedo
Escobedo is the shorthand name for the landmark U.S. Supreme Court case Escobedo v. Illinois, which significantly expanded the right to counsel during police interrogations.
-
E.
Saldívar
Saldívar is the surname of Yolanda Saldívar, who is infamously known for murdering Tejano singer Selena Quintanilla-Pérez.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe474f89c819086db832b793c15ed |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.