Triple
T9133186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T'Chaka |
E219139
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Azzuri the Wise
Azzuri the Wise is a former Black Panther and king of Wakanda in Marvel Comics, known for his wisdom and leadership during World War II.
|
E780857
|
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: Azzuri the Wise | Statement: [T'Chaka, predecessor, Azzuri the Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azzuri the Wise Context triple: [T'Chaka, predecessor, Azzuri the Wise]
-
A.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
B.
Raimondo
Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
-
C.
Tullio
Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
-
D.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- 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: Azzuri the Wise Triple: [T'Chaka, predecessor, Azzuri the Wise]
Generated description
Azzuri the Wise is a former Black Panther and king of Wakanda in Marvel Comics, known for his wisdom and leadership during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azzuri the Wise Target entity description: Azzuri the Wise is a former Black Panther and king of Wakanda in Marvel Comics, known for his wisdom and leadership during World War II.
-
A.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
B.
Raimondo
Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
-
C.
Tullio
Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
-
D.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8dccecc81908d8fc641c419ca6a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047e5ad5481909b7e62bee4d57492 |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d048dbcfe08190afb6ee816e22ddfc |
completed | April 3, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049b159d08190ad426bb7f9bcafb1 |
completed | April 3, 2026, 11:13 p.m. |
Created at: March 30, 2026, 7:18 p.m.