Triple
T16955519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varela |
E411289
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Patricia Varela
Patricia Varela is a notable individual recognized for bearing the surname Varela.
|
E1330369
|
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: Patricia Varela | Statement: [Varela, hasNotableBearer, Patricia Varela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Varela Context triple: [Varela, hasNotableBearer, Patricia Varela]
-
A.
Patricia García
Patricia García is a Spanish singer and performer known for her work in contemporary music and live stage shows.
-
B.
Marta Marrero
Marta Marrero, better known by her stage name Martika, is an American singer and actress famous for her late-1980s pop hits like "Toy Soldiers" and her role on the television series "Kids Incorporated."
-
C.
Patricia Medina
Patricia Medina was a British-born film actress known for her roles in Hollywood adventure and mystery films from the 1940s through the 1960s.
-
D.
Adriana Varela
Adriana Varela is an acclaimed Argentine tango singer known for her intense, smoky vocal style and modern interpretations of classic tangos.
-
E.
Paula García
Paula García is a central character in the Spanish television series "La verdad," involved in a complex mystery surrounding identity and hidden pasts.
- 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: Patricia Varela Triple: [Varela, hasNotableBearer, Patricia Varela]
Generated description
Patricia Varela is a notable individual recognized for bearing the surname Varela.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patricia Varela Target entity description: Patricia Varela is a notable individual recognized for bearing the surname Varela.
-
A.
Patricia García
Patricia García is a Spanish singer and performer known for her work in contemporary music and live stage shows.
-
B.
Marta Marrero
Marta Marrero, better known by her stage name Martika, is an American singer and actress famous for her late-1980s pop hits like "Toy Soldiers" and her role on the television series "Kids Incorporated."
-
C.
Patricia Medina
Patricia Medina was a British-born film actress known for her roles in Hollywood adventure and mystery films from the 1940s through the 1960s.
-
D.
Adriana Varela
Adriana Varela is an acclaimed Argentine tango singer known for her intense, smoky vocal style and modern interpretations of classic tangos.
-
E.
Paula García
Paula García is a central character in the Spanish television series "La verdad," involved in a complex mystery surrounding identity and hidden pasts.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01bb700819082a441c124be3cb6 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049abb14b88190bda735aa1c9c81b5 |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a049c86bd748190a10f6f720cc4c9eb |
completed | May 13, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049e9f82d48190b375adef9fbfd1bd |
completed | May 13, 2026, 3:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.