Triple
T14690027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R’hllor |
E345011
|
entity |
| Predicate | worshippedBy |
P1194
|
FINISHED |
| Object |
Benerro
Benerro is a prominent red priest of R’hllor in Volantis in the world of *A Song of Ice and Fire*, known for his fiery sermons and political influence.
|
E1114258
|
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: Benerro | Statement: [R’hllor, worshippedBy, Benerro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benerro Context triple: [R’hllor, worshippedBy, Benerro]
-
A.
Beniferri
Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
-
B.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
-
C.
Gualba
Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
-
D.
Ubaque
Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
-
E.
Bassignana
Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
- 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: Benerro Triple: [R’hllor, worshippedBy, Benerro]
Generated description
Benerro is a prominent red priest of R’hllor in Volantis in the world of *A Song of Ice and Fire*, known for his fiery sermons and political influence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benerro Target entity description: Benerro is a prominent red priest of R’hllor in Volantis in the world of *A Song of Ice and Fire*, known for his fiery sermons and political influence.
-
A.
Beniferri
Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
-
B.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
-
C.
Gualba
Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
-
D.
Ubaque
Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
-
E.
Bassignana
Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5844de481908a796eaa474bfde9 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde189771c81909289b8b044e32547 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde5fd6854819083957f2c653eb8b6 |
completed | May 8, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde6ffc27881909427d24560011cdf |
completed | May 8, 2026, 1:37 p.m. |
Created at: April 10, 2026, 1:28 a.m.