Triple
T11712687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artaserse |
E278410
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Arbace
Arbace is a central operatic character in Johann Adolph Hasse’s *Artaserse*, typically portrayed as a loyal confidant entangled in the work’s political and emotional conflicts.
|
E942044
|
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: Arbace | Statement: [Artaserse, featuresCharacter, Arbace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbace Context triple: [Artaserse, featuresCharacter, Arbace]
-
A.
Arbatax
Arbatax is a coastal town and port on the eastern coast of Sardinia, Italy, known for its red rock formations and ferry connections.
-
B.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
C.
Arisbe
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
-
D.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
-
E.
Bardac
Bardac is a French surname most notably associated with Emma Bardac, a Parisian socialite and singer who became the second wife of composer Claude Debussy.
- 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: Arbace Triple: [Artaserse, featuresCharacter, Arbace]
Generated description
Arbace is a central operatic character in Johann Adolph Hasse’s *Artaserse*, typically portrayed as a loyal confidant entangled in the work’s political and emotional conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arbace Target entity description: Arbace is a central operatic character in Johann Adolph Hasse’s *Artaserse*, typically portrayed as a loyal confidant entangled in the work’s political and emotional conflicts.
-
A.
Arbatax
Arbatax is a coastal town and port on the eastern coast of Sardinia, Italy, known for its red rock formations and ferry connections.
-
B.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
C.
Arisbe
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
-
D.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
-
E.
Bardac
Bardac is a French surname most notably associated with Emma Bardac, a Parisian socialite and singer who became the second wife of composer Claude Debussy.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef838562d08190b9a764e88c50d423 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b68309081909f3f614efeeb2ab1 |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd6aba82c81909ff22e6b26db3cfe |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 8, 2026, 9:40 p.m.