Triple
T12420836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochelle Aytes |
E296765
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Aytes
Aytes is the surname of Rochelle Aytes, an American actress and model known for her roles in film and television.
|
E989972
|
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: Aytes | Statement: [Rochelle Aytes, familyName, Aytes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aytes Context triple: [Rochelle Aytes, familyName, Aytes]
-
A.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
B.
Gortys
Gortys is a cheerful, childlike robot from the episodic game Tales from the Borderlands, central to the story’s search for a fabled Vault.
-
C.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
D.
Almeirim
Almeirim is a Portuguese city in the Ribatejo region, known for its agricultural traditions and its famous sopa da pedra (stone soup).
-
E.
Turrubares
Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
- 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: Aytes Triple: [Rochelle Aytes, familyName, Aytes]
Generated description
Aytes is the surname of Rochelle Aytes, an American actress and model known for her roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aytes Target entity description: Aytes is the surname of Rochelle Aytes, an American actress and model known for her roles in film and television.
-
A.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
B.
Gortys
Gortys is a cheerful, childlike robot from the episodic game Tales from the Borderlands, central to the story’s search for a fabled Vault.
-
C.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
D.
Almeirim
Almeirim is a Portuguese city in the Ribatejo region, known for its agricultural traditions and its famous sopa da pedra (stone soup).
-
E.
Turrubares
Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556495208190abd2e3e5aaac57a5 |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65799ca588190b9f7a07f5c1a842c |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:55 p.m.