Triple
T8604503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mera |
E203763
|
entity |
| Predicate | creators |
P7732
|
FINISHED |
| Object |
Nick Cardy
Nick Cardy was an American comic book artist best known for his influential Silver Age work on DC titles such as Aquaman and Teen Titans.
|
E744965
|
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: Nick Cardy | Statement: [Mera, creators, Nick Cardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Cardy Context triple: [Mera, creators, Nick Cardy]
-
A.
Jon Garland
Jon Garland is a former Major League Baseball right-handed starting pitcher best known for his All-Star tenure with the Chicago White Sox, including helping lead them to the 2005 World Series title.
-
B.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
C.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
D.
Ian Copeland
Ian Copeland was a prominent American music promoter and talent agent who helped launch the careers of numerous new wave and alternative rock bands in the late 20th century.
-
E.
Don Rhymer
Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
- 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: Nick Cardy Triple: [Mera, creators, Nick Cardy]
Generated description
Nick Cardy was an American comic book artist best known for his influential Silver Age work on DC titles such as Aquaman and Teen Titans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Cardy Target entity description: Nick Cardy was an American comic book artist best known for his influential Silver Age work on DC titles such as Aquaman and Teen Titans.
-
A.
Jon Garland
Jon Garland is a former Major League Baseball right-handed starting pitcher best known for his All-Star tenure with the Chicago White Sox, including helping lead them to the 2005 World Series title.
-
B.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
C.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
D.
Ian Copeland
Ian Copeland was a prominent American music promoter and talent agent who helped launch the careers of numerous new wave and alternative rock bands in the late 20th century.
-
E.
Don Rhymer
Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dd8ff8819081ef269192047488 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f8dfa4819080c8ed475a84be41 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.