Triple
T11059809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Guzmán |
E261478
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Guzman
Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
|
E903607
|
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: Guzman | Statement: [de Guzmán, hasVariant, Guzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guzman Context triple: [de Guzmán, hasVariant, Guzman]
-
A.
Gómez
Gómez is a common Spanish surname widely found in Spain and Latin American countries.
-
B.
Nicolás Bravo
Nicolás Bravo was a prominent Mexican military leader and politician who played a key role in the country’s War of Independence and later served multiple times as president of Mexico.
-
C.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
-
D.
Romero
Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
-
E.
El Santo
El Santo was a legendary Mexican luchador and cultural icon, famed for his silver mask and starring role in numerous lucha libre films and comic books.
- 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: Guzman Triple: [de Guzmán, hasVariant, Guzman]
Generated description
Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guzman Target entity description: Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
-
A.
Gómez
Gómez is a common Spanish surname widely found in Spain and Latin American countries.
-
B.
Nicolás Bravo
Nicolás Bravo was a prominent Mexican military leader and politician who played a key role in the country’s War of Independence and later served multiple times as president of Mexico.
-
C.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
-
D.
Romero
Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
-
E.
El Santo
El Santo was a legendary Mexican luchador and cultural icon, famed for his silver mask and starring role in numerous lucha libre films and comic books.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798e991848190b07c2f48dae38681 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e75b90ec8190b1a799e0183c6784 |
completed | April 18, 2026, 8:19 p.m. |
| NEDg | Description generation | batch_69e3f2c889dc81909a04c1db0509e3d9 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4746dbc8190a0e28202ad5e6b4f |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:26 p.m.