Triple
T1065653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bettany |
E23203
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Vision
Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
|
E123985
|
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: Vision | Statement: [Paul Bettany, portrayed, Vision]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vision Context triple: [Paul Bettany, portrayed, Vision]
-
A.
Tell the Vision
"Tell the Vision" is a posthumous Pop Smoke track featured on Kanye West's album "Donda," known for its raw, lo-fi vocal delivery and emotional tribute tone.
-
B.
Look
"Look" is a critically acclaimed album by American musician and producer Blake Mills, noted for its experimental guitar work and innovative soundscapes.
-
C.
Visual Concepts
Visual Concepts is a video game development studio best known for creating the long-running NBA 2K basketball simulation series.
-
D.
Seeing Things
"Seeing Things" is a poetry collection by Nobel Prize–winning Irish poet Seamus Heaney that reflects on memory, mortality, and vision through richly crafted, meditative verse.
-
E.
AIM
AIM is the commonly used acronym for AOL Instant Messenger, a pioneering early internet instant messaging service.
- 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: Vision Triple: [Paul Bettany, portrayed, Vision]
Generated description
Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vision Target entity description: Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
-
A.
Tell the Vision
"Tell the Vision" is a posthumous Pop Smoke track featured on Kanye West's album "Donda," known for its raw, lo-fi vocal delivery and emotional tribute tone.
-
B.
Look
"Look" is a critically acclaimed album by American musician and producer Blake Mills, noted for its experimental guitar work and innovative soundscapes.
-
C.
Visual Concepts
Visual Concepts is a video game development studio best known for creating the long-running NBA 2K basketball simulation series.
-
D.
Seeing Things
"Seeing Things" is a poetry collection by Nobel Prize–winning Irish poet Seamus Heaney that reflects on memory, mortality, and vision through richly crafted, meditative verse.
-
E.
AIM
AIM is the commonly used acronym for AOL Instant Messenger, a pioneering early internet instant messaging service.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a336388190a6d18fda8a7a151d |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac43f306e48190b94f16749f5ba0d1 |
completed | March 7, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac44467c9c8190a82ea8158add468a |
completed | March 7, 2026, 3:29 p.m. |
Created at: March 1, 2026, 7:42 p.m.