Triple
T19481592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Vertigo |
E487397
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Trevor Von Eeden
Trevor Von Eeden is a Guyanese-American comic book artist best known for his dynamic work at DC Comics in the 1970s and 1980s, including co-creating the character Black Lightning.
|
E1378956
|
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: Trevor Von Eeden | Statement: [Count Vertigo, creator, Trevor Von Eeden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trevor Von Eeden Context triple: [Count Vertigo, creator, Trevor Von Eeden]
-
A.
Trevor Rich
Trevor Rich is a hip-hop artist known for his featured appearance on the track "Born 2 Rap."
-
B.
Trevor Walters
Trevor Walters is a British lovers rock reggae singer known for his smooth vocal style and popular 1980s covers of soul and pop songs.
-
C.
Trevor Albert
Trevor Albert is a film producer best known for his work on the classic comedy "Groundhog Day."
-
D.
Trevor Hampton
Trevor Hampton is an individual notable enough to be recognized as a prominent bearer of the surname Hampton.
-
E.
Trevor Garfield
Trevor Garfield is the troubled high school teacher protagonist of the 1997 crime drama film "One Eight Seven," portrayed by Samuel L. Jackson.
- 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: Trevor Von Eeden Triple: [Count Vertigo, creator, Trevor Von Eeden]
Generated description
Trevor Von Eeden is a Guyanese-American comic book artist best known for his dynamic work at DC Comics in the 1970s and 1980s, including co-creating the character Black Lightning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trevor Von Eeden Target entity description: Trevor Von Eeden is a Guyanese-American comic book artist best known for his dynamic work at DC Comics in the 1970s and 1980s, including co-creating the character Black Lightning.
-
A.
Trevor Rich
Trevor Rich is a hip-hop artist known for his featured appearance on the track "Born 2 Rap."
-
B.
Trevor Walters
Trevor Walters is a British lovers rock reggae singer known for his smooth vocal style and popular 1980s covers of soul and pop songs.
-
C.
Trevor Albert
Trevor Albert is a film producer best known for his work on the classic comedy "Groundhog Day."
-
D.
Trevor Hampton
Trevor Hampton is an individual notable enough to be recognized as a prominent bearer of the surname Hampton.
-
E.
Trevor Garfield
Trevor Garfield is the troubled high school teacher protagonist of the 1997 crime drama film "One Eight Seven," portrayed by Samuel L. Jackson.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e634393b8081909f5e4c38b2f1a9b7 |
completed | April 20, 2026, 2:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074057ba44819082582784847a90da |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740ff37fc81908e68db633223fb9c |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07424880e08190a582da18e3a6af19 |
completed | May 15, 2026, 3:56 p.m. |
Created at: April 10, 2026, 1:39 p.m.