Triple
T13846793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriana Barraza |
E332826
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dos Lunas
Dos Lunas is a Spanish-language television drama series featuring acclaimed Mexican actress Adriana Barraza in a prominent role.
|
E1065656
|
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: Dos Lunas | Statement: [Adriana Barraza, notableWork, Dos Lunas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dos Lunas Context triple: [Adriana Barraza, notableWork, Dos Lunas]
-
A.
Cerrillos
Cerrillos is a commune and urban area within the Santiago Metropolitan Region of Chile, known primarily as a residential and industrial district of Greater Santiago.
-
B.
Lomas Estrella
Lomas Estrella is a Mexico City Metro station serving the southeastern area of the city on Line 12.
-
C.
Alpedrete
Alpedrete is a municipality in the Community of Madrid, Spain, known for its traditional stone quarries and residential character near the Sierra de Guadarrama.
-
D.
Sanjuanito
Sanjuanito is a traditional, upbeat Indigenous Ecuadorian musical and dance style from the Andes, typically featuring panpipes, charangos, and rhythmic percussion.
-
E.
Tierra Amarilla
Tierra Amarilla is a small mining-oriented town and commune in northern Chile’s Atacama Desert, known for its copper and gold production.
- 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: Dos Lunas Triple: [Adriana Barraza, notableWork, Dos Lunas]
Generated description
Dos Lunas is a Spanish-language television drama series featuring acclaimed Mexican actress Adriana Barraza in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dos Lunas Target entity description: Dos Lunas is a Spanish-language television drama series featuring acclaimed Mexican actress Adriana Barraza in a prominent role.
-
A.
Cerrillos
Cerrillos is a commune and urban area within the Santiago Metropolitan Region of Chile, known primarily as a residential and industrial district of Greater Santiago.
-
B.
Lomas Estrella
Lomas Estrella is a Mexico City Metro station serving the southeastern area of the city on Line 12.
-
C.
Alpedrete
Alpedrete is a municipality in the Community of Madrid, Spain, known for its traditional stone quarries and residential character near the Sierra de Guadarrama.
-
D.
Sanjuanito
Sanjuanito is a traditional, upbeat Indigenous Ecuadorian musical and dance style from the Andes, typically featuring panpipes, charangos, and rhythmic percussion.
-
E.
Tierra Amarilla
Tierra Amarilla is a small mining-oriented town and commune in northern Chile’s Atacama Desert, known for its copper and gold production.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c23410dc8190972245cecfa85871 |
completed | May 3, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3031a0c8190ad30d59fe1f2322e |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:13 p.m.