Triple
T14558949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hustlers |
E341617
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Ramona Vega
Ramona Vega is a charismatic, savvy veteran stripper and ringleader in the film "Hustlers," who masterminds a scheme to swindle wealthy Wall Street clients.
|
E1131796
|
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: Ramona Vega | Statement: [Hustlers, character, Ramona Vega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramona Vega Context triple: [Hustlers, character, Ramona Vega]
-
A.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
B.
Nina Garcia
Nina Garcia is a Colombian-American fashion journalist, editor, and television personality best known as a longtime judge on the reality competition show "Project Runway."
-
C.
Valerie Vasquez
Valerie Vasquez is a makeup artist and the wife of American stand-up comedian and actor Andrew Dice Clay.
-
D.
Ava Castro
Ava Castro is an actress known for playing the character Rebecca Pearson.
-
E.
Angelica Fuentes
Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
- 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: Ramona Vega Triple: [Hustlers, character, Ramona Vega]
Generated description
Ramona Vega is a charismatic, savvy veteran stripper and ringleader in the film "Hustlers," who masterminds a scheme to swindle wealthy Wall Street clients.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramona Vega Target entity description: Ramona Vega is a charismatic, savvy veteran stripper and ringleader in the film "Hustlers," who masterminds a scheme to swindle wealthy Wall Street clients.
-
A.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
B.
Nina Garcia
Nina Garcia is a Colombian-American fashion journalist, editor, and television personality best known as a longtime judge on the reality competition show "Project Runway."
-
C.
Valerie Vasquez
Valerie Vasquez is a makeup artist and the wife of American stand-up comedian and actor Andrew Dice Clay.
-
D.
Ava Castro
Ava Castro is an actress known for playing the character Rebecca Pearson.
-
E.
Angelica Fuentes
Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967e9c208190a00a82122b8c884c |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe98917abc81908998205b4ecf201f |
completed | May 9, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe997c744481909bd3c66c3dd68f19 |
completed | May 9, 2026, 2:18 a.m. |
Created at: April 10, 2026, 1:23 a.m.