Triple
T14461384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cad Bane |
E358590
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object |
Moralo Eval
Moralo Eval is a criminal mastermind and scheming strategist in the Star Wars universe, known for orchestrating elaborate plots against the Galactic Republic.
|
E1100944
|
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: Moralo Eval | Statement: [Cad Bane, ally, Moralo Eval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moralo Eval Context triple: [Cad Bane, ally, Moralo Eval]
-
A.
Balvín
Balvín is a Spanish-language surname most notably associated with Colombian reggaeton singer J Balvin (José Álvaro Osorio Balvín).
-
B.
Danglas
Danglas is a rural municipality in the province of Abra in the Cordillera region of the Philippines.
-
C.
Sosa Keef
Sosa Keef is the nickname of Chief Keef, an influential Chicago drill rapper known for pioneering the genre’s mainstream rise in the early 2010s.
-
D.
Marlohe
Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
-
E.
Merlo
Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
- 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: Moralo Eval Triple: [Cad Bane, ally, Moralo Eval]
Generated description
Moralo Eval is a criminal mastermind and scheming strategist in the Star Wars universe, known for orchestrating elaborate plots against the Galactic Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moralo Eval Target entity description: Moralo Eval is a criminal mastermind and scheming strategist in the Star Wars universe, known for orchestrating elaborate plots against the Galactic Republic.
-
A.
Balvín
Balvín is a Spanish-language surname most notably associated with Colombian reggaeton singer J Balvin (José Álvaro Osorio Balvín).
-
B.
Danglas
Danglas is a rural municipality in the province of Abra in the Cordillera region of the Philippines.
-
C.
Sosa Keef
Sosa Keef is the nickname of Chief Keef, an influential Chicago drill rapper known for pioneering the genre’s mainstream rise in the early 2010s.
-
D.
Marlohe
Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
-
E.
Merlo
Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd65f9f5d88190997c76ba98859471 |
completed | May 8, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66a62da081908226d85d968dbbe6 |
completed | May 8, 2026, 4:29 a.m. |
Created at: April 10, 2026, 1:19 a.m.