Triple
T2578955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleonora Duse |
E57043
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Duse
Duse is the surname of Eleonora Duse, the renowned Italian stage actress celebrated for her naturalistic acting style in the late 19th and early 20th centuries.
|
E279747
|
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: Duse | Statement: [Eleonora Duse, familyName, Duse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duse Context triple: [Eleonora Duse, familyName, Duse]
-
A.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
B.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
C.
Valter
Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
-
D.
Vaska Pepel
Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
-
E.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
- 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: Duse Triple: [Eleonora Duse, familyName, Duse]
Generated description
Duse is the surname of Eleonora Duse, the renowned Italian stage actress celebrated for her naturalistic acting style in the late 19th and early 20th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duse Target entity description: Duse is the surname of Eleonora Duse, the renowned Italian stage actress celebrated for her naturalistic acting style in the late 19th and early 20th centuries.
-
A.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
B.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
C.
Valter
Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
-
D.
Vaska Pepel
Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
-
E.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a86f9881908df29a7caaf9a7df |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6579bab88190891c23721eaccfc8 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af67843ef481909dfa3d6cb29cef51 |
completed | March 10, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af67fc75c48190aa04defed7ad2aaf |
completed | March 10, 2026, 12:38 a.m. |
Created at: March 6, 2026, 9:49 p.m.