Triple
T18352180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cano |
E439691
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ana Cano
Ana Cano is a notable individual recognized for achievements significant enough to be associated with the surname Cano.
|
E1375143
|
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: Ana Cano | Statement: [Cano, hasNotableBearer, Ana Cano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ana Cano Context triple: [Cano, hasNotableBearer, Ana Cano]
-
A.
María Romo
María Romo is a Spanish actress known for her work in film and television.
-
B.
María Carrasco
María Carrasco is a Spanish flamenco-pop singer known for her emotive vocal style and early success as a child artist.
-
C.
Delfina Suárez
Delfina Suárez is the daughter of Uruguayan footballer Luis Suárez, occasionally appearing in media and public events alongside her father.
-
D.
Manuela Escobar
Manuela Escobar is the daughter of infamous Colombian drug lord Pablo Escobar, known largely for her reclusive life following her father's death.
-
E.
Maricruz Nájera
Maricruz Nájera is a Mexican actress known for her extensive work in film, television, and theater, and as part of a prominent acting family.
- 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: Ana Cano Triple: [Cano, hasNotableBearer, Ana Cano]
Generated description
Ana Cano is a notable individual recognized for achievements significant enough to be associated with the surname Cano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ana Cano Target entity description: Ana Cano is a notable individual recognized for achievements significant enough to be associated with the surname Cano.
-
A.
María Romo
María Romo is a Spanish actress known for her work in film and television.
-
B.
María Carrasco
María Carrasco is a Spanish flamenco-pop singer known for her emotive vocal style and early success as a child artist.
-
C.
Delfina Suárez
Delfina Suárez is the daughter of Uruguayan footballer Luis Suárez, occasionally appearing in media and public events alongside her father.
-
D.
Manuela Escobar
Manuela Escobar is the daughter of infamous Colombian drug lord Pablo Escobar, known largely for her reclusive life following her father's death.
-
E.
Maricruz Nájera
Maricruz Nájera is a Mexican actress known for her extensive work in film, television, and theater, and as part of a prominent acting family.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f8f07c8190a1506d4a327369d0 |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733b49ddc81909157bd26d699a390 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a073491b60c8190a41a15410e865219 |
completed | May 15, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073545b2e48190a8cb78cb25785017 |
completed | May 15, 2026, 3:01 p.m. |
Created at: April 10, 2026, 10:37 a.m.