Triple
T10103902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacanins y Niño |
E216269
|
entity |
| Predicate | hasComponentSurname |
P37098
|
FINISHED |
| Object |
Niño
Niño is a Spanish surname commonly borne by individuals and families in Spanish-speaking countries.
|
E841932
|
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: Niño | Statement: [Pacanins y Niño, hasComponentSurname, Niño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niño Context triple: [Pacanins y Niño, hasComponentSurname, Niño]
-
A.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
B.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
-
C.
Pacanins y Niño
Pacanins y Niño is the aristocratic Venezuelan family name of fashion designer Carolina Herrera, reflecting her prominent social and cultural heritage.
-
D.
Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
-
E.
Miguel
Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
- 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: Niño Triple: [Pacanins y Niño, hasComponentSurname, Niño]
Generated description
Niño is a Spanish surname commonly borne by individuals and families in Spanish-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niño Target entity description: Niño is a Spanish surname commonly borne by individuals and families in Spanish-speaking countries.
-
A.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
B.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
-
C.
Pacanins y Niño
Pacanins y Niño is the aristocratic Venezuelan family name of fashion designer Carolina Herrera, reflecting her prominent social and cultural heritage.
-
D.
Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
-
E.
Miguel
Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09c961081909848acec4438c300 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbf9ffb88190a87833d6fe080950 |
completed | April 5, 2026, 8:54 p.m. |
| NEDg | Description generation | batch_69d2cd8d611c81909085b3290eb54d16 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce686da48190b32a2053b94f1d48 |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:03 p.m.