Triple
T20359262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amar en tiempos revueltos |
E496730
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object |
Amar franchise
The Amar franchise is a Spanish television drama saga centered on romantic and social stories set against the backdrop of 20th-century Spain.
|
E1426841
|
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: Amar franchise | Statement: [Amar en tiempos revueltos, fictionalUniverse, Amar franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amar franchise Context triple: [Amar en tiempos revueltos, fictionalUniverse, Amar franchise]
-
A.
T-series
T-series is a set of ITU-T recommendations primarily focused on multimedia services, terminals, and related communication systems.
-
B.
Rowdy Rathore
Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
-
E.
Andaz
Andaz is a classic 1949 Hindi romantic drama film, directed by Mehboob Khan and starring Raj Kapoor, Nargis, and Dilip Kumar, known for its love triangle and progressive themes.
- 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: Amar franchise Triple: [Amar en tiempos revueltos, fictionalUniverse, Amar franchise]
Generated description
The Amar franchise is a Spanish television drama saga centered on romantic and social stories set against the backdrop of 20th-century Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amar franchise Target entity description: The Amar franchise is a Spanish television drama saga centered on romantic and social stories set against the backdrop of 20th-century Spain.
-
A.
T-series
T-series is a set of ITU-T recommendations primarily focused on multimedia services, terminals, and related communication systems.
-
B.
Rowdy Rathore
Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
-
E.
Andaz
Andaz is a classic 1949 Hindi romantic drama film, directed by Mehboob Khan and starring Raj Kapoor, Nargis, and Dilip Kumar, known for its love triangle and progressive themes.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678573fc481908bf257e6ed41d750 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087083b5108190a94f0a9dc405904c |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087213a0408190a9b553323d7ced1f |
completed | May 16, 2026, 1:33 p.m. |
Created at: April 16, 2026, 11:25 a.m.