Triple
T16618846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosaura De la Garza |
E403765
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Roberto Muzquiz
Roberto Muzquiz is the child of Rosaura De la Garza, a member of her immediate family.
|
E1342063
|
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: Roberto Muzquiz | Statement: [Rosaura De la Garza, hasChild, Roberto Muzquiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberto Muzquiz Context triple: [Rosaura De la Garza, hasChild, Roberto Muzquiz]
-
A.
Rafael Magaña
Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
-
B.
Guillermo Magaña
Guillermo Magaña is a person notable enough to be recognized as a bearer of the surname Magaña, though specific widely known public details about him are not clearly established.
-
C.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
-
D.
Pedro Muzquiz
Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
-
E.
Roberto Álamo
Roberto Álamo is a Spanish actor known for his work in film, television, and theater, including prominent roles in acclaimed Spanish cinema.
- 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: Roberto Muzquiz Triple: [Rosaura De la Garza, hasChild, Roberto Muzquiz]
Generated description
Roberto Muzquiz is the child of Rosaura De la Garza, a member of her immediate family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roberto Muzquiz Target entity description: Roberto Muzquiz is the child of Rosaura De la Garza, a member of her immediate family.
-
A.
Rafael Magaña
Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
-
B.
Guillermo Magaña
Guillermo Magaña is a person notable enough to be recognized as a bearer of the surname Magaña, though specific widely known public details about him are not clearly established.
-
C.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
-
D.
Pedro Muzquiz
Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
-
E.
Roberto Álamo
Roberto Álamo is a Spanish actor known for his work in film, television, and theater, including prominent roles in acclaimed Spanish cinema.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754bc4cc8190a586732fc6507b40 |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d1cfe348190a2a2000e7c0d4e17 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a0540461468819081446dff4ffab68d |
completed | May 14, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0540b0c7208190901aceb4ceb842e5 |
completed | May 14, 2026, 3:25 a.m. |
Created at: April 10, 2026, 5:17 a.m.