Triple
T16737583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel |
E406755
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Arielito
Arielito is a diminutive form of the given name Ariel, often used as an affectionate nickname in Spanish-speaking contexts.
|
E1231065
|
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: Arielito | Statement: [Ariel, hasVariant, Arielito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arielito Context triple: [Ariel, hasVariant, Arielito]
-
A.
Ariel Sensitive
Ariel Sensitive is a gentle laundry detergent variant formulated for people with sensitive skin, offering effective cleaning with reduced irritants and perfumes.
-
B.
La Nena
"La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
-
C.
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.
-
D.
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.
-
E.
Niño
Niño is a Spanish surname commonly borne by individuals and families in Spanish-speaking countries.
- 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: Arielito Triple: [Ariel, hasVariant, Arielito]
Generated description
Arielito is a diminutive form of the given name Ariel, often used as an affectionate nickname in Spanish-speaking contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arielito Target entity description: Arielito is a diminutive form of the given name Ariel, often used as an affectionate nickname in Spanish-speaking contexts.
-
A.
Ariel Sensitive
Ariel Sensitive is a gentle laundry detergent variant formulated for people with sensitive skin, offering effective cleaning with reduced irritants and perfumes.
-
B.
La Nena
"La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
-
C.
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.
-
D.
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.
-
E.
Niño
Niño is a Spanish surname commonly borne by individuals and families in Spanish-speaking countries.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3b60fc81908cf331448b4b5598 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4ea8208190aed0a4014a10d120 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009ed297488190a20558efb9f91a55 |
completed | May 10, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009f460010819086cfd7a7d74cb435 |
completed | May 10, 2026, 3:07 p.m. |
Created at: April 10, 2026, 5:20 a.m.