Triple
T14192217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mambo Kings |
E351740
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Cynthia Cidre
Cynthia Cidre is a Cuban-American screenwriter and producer known for her work in film and television, including creating the series "Cane" and developing the 2012 reboot of "Dallas."
|
E1085184
|
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: Cynthia Cidre | Statement: [Mambo Kings, screenwriter, Cynthia Cidre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Cidre Context triple: [Mambo Kings, screenwriter, Cynthia Cidre]
-
A.
Cynthia Barboza
Cynthia Barboza is an American volleyball player and former Stanford University standout who competed for the U.S. national team.
-
B.
Cynthia Blaise
Cynthia Blaise is an American dialect coach and actress known for her work on films such as "Bad Teacher" and "The Tiger Hunter."
-
C.
Gina Cuevas
Gina Cuevas is a fictional character appearing in the American medical drama television series "Nurses."
-
D.
Sherry Cervi
Sherry Cervi is a renowned American barrel racer and multiple-time world champion in professional rodeo.
-
E.
Cristel Carrisi
Cristel Carrisi is an Italian television presenter and entrepreneur, best known as the daughter of singers Romina Power and Al Bano.
- 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: Cynthia Cidre Triple: [Mambo Kings, screenwriter, Cynthia Cidre]
Generated description
Cynthia Cidre is a Cuban-American screenwriter and producer known for her work in film and television, including creating the series "Cane" and developing the 2012 reboot of "Dallas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cynthia Cidre Target entity description: Cynthia Cidre is a Cuban-American screenwriter and producer known for her work in film and television, including creating the series "Cane" and developing the 2012 reboot of "Dallas."
-
A.
Cynthia Barboza
Cynthia Barboza is an American volleyball player and former Stanford University standout who competed for the U.S. national team.
-
B.
Cynthia Blaise
Cynthia Blaise is an American dialect coach and actress known for her work on films such as "Bad Teacher" and "The Tiger Hunter."
-
C.
Gina Cuevas
Gina Cuevas is a fictional character appearing in the American medical drama television series "Nurses."
-
D.
Sherry Cervi
Sherry Cervi is a renowned American barrel racer and multiple-time world champion in professional rodeo.
-
E.
Cristel Carrisi
Cristel Carrisi is an Italian television presenter and entrepreneur, best known as the daughter of singers Romina Power and Al Bano.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194951d481909a8e81f2d09feefa |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1b2ace9c8190a7458e5c43a3c3d6 |
completed | May 7, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1c61b994819081dcc92ae33772ed |
completed | May 7, 2026, 11:12 p.m. |
Created at: April 10, 2026, 1:04 a.m.