Triple
T18039929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Galindo |
E431620
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Galindo
Galindo is a Spanish-language surname of Iberian origin borne by numerous individuals across the Spanish-speaking world.
|
E1302569
|
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: Galindo | Statement: [Miguel Galindo, familyName, Galindo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galindo Context triple: [Miguel Galindo, familyName, Galindo]
-
A.
Beltrán
Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
Aguilar
Aguilar is a noble family name of Spanish origin historically associated with various aristocratic lineages and houses on the Iberian Peninsula.
-
D.
Alvarado
Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
-
E.
Alvarado
Alvarado is a rural municipality in Costa Rica known for its agricultural landscape and small-town communities within Cartago Province.
- 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: Galindo Triple: [Miguel Galindo, familyName, Galindo]
Generated description
Galindo is a Spanish-language surname of Iberian origin borne by numerous individuals across the Spanish-speaking world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galindo Target entity description: Galindo is a Spanish-language surname of Iberian origin borne by numerous individuals across the Spanish-speaking world.
-
A.
Beltrán
Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
Aguilar
Aguilar is a noble family name of Spanish origin historically associated with various aristocratic lineages and houses on the Iberian Peninsula.
-
D.
Alvarado
Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
-
E.
Alvarado
Alvarado is a rural municipality in Costa Rica known for its agricultural landscape and small-town communities within Cartago Province.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bfece6448190b4ba96075715bcef |
completed | April 19, 2026, 11:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349b60058819096666f889d05a9c5 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034b0817408190817e4a3ee0003d57 |
completed | May 12, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034bdf5c808190ac329e663e220f1b |
completed | May 12, 2026, 3:48 p.m. |
Created at: April 10, 2026, 10:25 a.m.