Triple
T14640262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fools Rush In |
E343702
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Isabel Fuentes
Isabel Fuentes is the spontaneous, free-spirited Mexican-American photographer whose whirlwind romance with a straight-laced New Yorker drives the plot of the romantic comedy film "Fools Rush In."
|
E1312238
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabel Fuentes Context triple: [Fools Rush In, mainCharacter, Isabel Fuentes]
-
A.
Isabel Salazar
Isabel Salazar is a central character in the teen drama series "Love, Victor," known as Victor's caring but conflicted mother who struggles with her son's coming-of-age and coming-out journey.
-
B.
Isabel de la Cruz
Isabel de la Cruz was a prominent early 16th-century Spanish mystic associated with the alumbrados movement, whose visionary teachings drew the scrutiny of the Inquisition.
-
C.
Isabel Barreto
Isabel Barreto was a late 16th-century Spanish navigator and colonial figure often regarded as one of the first known female admirals in history, noted for her role in Pacific exploration.
-
D.
Mariola Fuentes
Mariola Fuentes is a Spanish actress known for her character roles in films and television, particularly in the works of director Pedro Almodóvar.
-
E.
Isabel García
Isabel García is a Spanish politician known for her work in the European Parliament and her advocacy on social and labor issues.
- 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: Isabel Fuentes Triple: [Fools Rush In, mainCharacter, Isabel Fuentes]
Generated description
Isabel Fuentes is the spontaneous, free-spirited Mexican-American photographer whose whirlwind romance with a straight-laced New Yorker drives the plot of the romantic comedy film "Fools Rush In."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isabel Fuentes Target entity description: Isabel Fuentes is the spontaneous, free-spirited Mexican-American photographer whose whirlwind romance with a straight-laced New Yorker drives the plot of the romantic comedy film "Fools Rush In."
-
A.
Isabel Salazar
Isabel Salazar is a central character in the teen drama series "Love, Victor," known as Victor's caring but conflicted mother who struggles with her son's coming-of-age and coming-out journey.
-
B.
Isabel de la Cruz
Isabel de la Cruz was a prominent early 16th-century Spanish mystic associated with the alumbrados movement, whose visionary teachings drew the scrutiny of the Inquisition.
-
C.
Isabel Barreto
Isabel Barreto was a late 16th-century Spanish navigator and colonial figure often regarded as one of the first known female admirals in history, noted for her role in Pacific exploration.
-
D.
Mariola Fuentes
Mariola Fuentes is a Spanish actress known for her character roles in films and television, particularly in the works of director Pedro Almodóvar.
-
E.
Isabel García
Isabel García is a Spanish politician known for her work in the European Parliament and her advocacy on social and labor issues.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039ef5147081908c7cfce314e120b1 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fb57d608190a0310a4e2c83852a |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a07a59f88190a7ddd5b612d1575a |
completed | May 12, 2026, 9:49 p.m. |
Created at: April 10, 2026, 1:26 a.m.