Triple
T18589124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Beast Wars |
E454311
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Silverbolt
Silverbolt is a noble and chivalrous Maximal warrior in Transformers: Beast Wars, known for his Fuzor form combining a wolf and an eagle and his romantic relationship with Blackarachnia.
|
E1332596
|
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: Silverbolt | Statement: [Transformers: Beast Wars, hasCharacter, Silverbolt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverbolt Context triple: [Transformers: Beast Wars, hasCharacter, Silverbolt]
-
A.
Crimson Bolt
Crimson Bolt is the violent, homemade superhero alter ego of the main character in the dark comedy film "Super."
-
B.
Falcon
Falcon is the menacing peregrine falcon antagonist in the family film "Stuart Little 2."
-
C.
Falcon
The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
-
D.
Falcon
Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
-
E.
Falcon
Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
- 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: Silverbolt Triple: [Transformers: Beast Wars, hasCharacter, Silverbolt]
Generated description
Silverbolt is a noble and chivalrous Maximal warrior in Transformers: Beast Wars, known for his Fuzor form combining a wolf and an eagle and his romantic relationship with Blackarachnia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silverbolt Target entity description: Silverbolt is a noble and chivalrous Maximal warrior in Transformers: Beast Wars, known for his Fuzor form combining a wolf and an eagle and his romantic relationship with Blackarachnia.
-
A.
Crimson Bolt
Crimson Bolt is the violent, homemade superhero alter ego of the main character in the dark comedy film "Super."
-
B.
Falcon
Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
-
C.
Falcon
The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
-
D.
Falcon
"Falcon" is a popular electronic dance music track by French DJ and producer Michael Calfan, known for its uplifting house style and melodic energy.
-
E.
Falcon
Falcon is the menacing peregrine falcon antagonist in the family film "Stuart Little 2."
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89678bc8190b8bc79694d75fd4b |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04fed4e1c4819088f99be7ee8ecd08 |
completed | May 13, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04ff9d97108190a34c4a8e347df711 |
completed | May 13, 2026, 10:47 p.m. |
Created at: April 10, 2026, 11:44 a.m.