Triple
T14640146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatriz at Dinner |
E343700
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Beatriz
Beatriz is the empathetic, socially conscious holistic healer and protagonist of the film "Beatriz at Dinner," whose moral convictions clash with the privileged guests at a wealthy client’s dinner party.
|
E1306221
|
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: Beatriz Context triple: [Beatriz at Dinner, character, Beatriz]
-
A.
Beatriz
Beatriz is a surname most notably associated with actress Stephanie Beatriz, known for her role as Rosa Diaz on the television series "Brooklyn Nine-Nine."
-
B.
Pilar
Pilar is a Spanish royal, known formally as Infanta Pilar, Duchess of Badajoz, and a member of the House of Bourbon.
-
C.
Pilar
Pilar is the introspective female protagonist of Paulo Coelho’s novel "By the River Piedra I Sat Down and Wept," whose spiritual and emotional journey drives the story.
-
D.
Pilar
Pilar is a coastal town on Siargao Island in the Philippines, known for its fishing communities and access to popular surfing and eco-tourism spots.
-
E.
Pilar
Pilar is a Spanish feminine given name, often associated with religious devotion to Our Lady of the Pillar and traditionally used in Spain and Spanish-speaking countries.
- 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: Beatriz Triple: [Beatriz at Dinner, character, Beatriz]
Generated description
Beatriz is the empathetic, socially conscious holistic healer and protagonist of the film "Beatriz at Dinner," whose moral convictions clash with the privileged guests at a wealthy client’s dinner party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beatriz Target entity description: Beatriz is the empathetic, socially conscious holistic healer and protagonist of the film "Beatriz at Dinner," whose moral convictions clash with the privileged guests at a wealthy client’s dinner party.
-
A.
Beatriz
Beatriz is a surname most notably associated with actress Stephanie Beatriz, known for her role as Rosa Diaz on the television series "Brooklyn Nine-Nine."
-
B.
Pilar
Pilar is the introspective female protagonist of Paulo Coelho’s novel "By the River Piedra I Sat Down and Wept," whose spiritual and emotional journey drives the story.
-
C.
Pilar
Pilar is a coastal town on Siargao Island in the Philippines, known for its fishing communities and access to popular surfing and eco-tourism spots.
-
D.
Pilar
Pilar is a municipality in the Philippine province of Abra, known for its rural highland landscapes and predominantly agricultural economy.
-
E.
Pilar
Pilar is a Spanish royal, known formally as Infanta Pilar, Duchess of Badajoz, and a member of the House of Bourbon.
- 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_6a037c1ca5408190ba46c0ce5515062a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037ca6f5888190b0ed34777aae862f |
completed | May 12, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037d319be48190b01a1b8d1f239078 |
completed | May 12, 2026, 7:19 p.m. |
Created at: April 10, 2026, 1:26 a.m.