Triple
T16009257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forgotten Realms |
E388297
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Ed Greenwood
Ed Greenwood is a Canadian fantasy author and game designer best known for creating the Dungeons & Dragons campaign setting Forgotten Realms.
|
E1189597
|
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: Ed Greenwood | Statement: [Forgotten Realms, creator, Ed Greenwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Greenwood Context triple: [Forgotten Realms, creator, Ed Greenwood]
-
A.
Terry Brooks
Terry Brooks is a bestselling American fantasy author best known for his long-running Shannara series.
-
B.
A. R. Martin
A. R. Martin is an editor best known for overseeing the influential British Interplanetary Society study volume on the interstellar spacecraft concept Project Daedalus.
-
C.
Carl Wagner
Carl Wagner was a prominent physical chemist and materials scientist known for his foundational work in diffusion, oxidation, and defect chemistry in solids.
-
D.
Joe Abercrombie
Joe Abercrombie is a British fantasy author best known for his gritty, darkly humorous First Law series, which helped popularize the grimdark subgenre.
-
E.
Grant Thompson
Grant Thompson is a screenwriter best known for his work on the inspirational sports drama film "McFarland, USA."
- 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: Ed Greenwood Triple: [Forgotten Realms, creator, Ed Greenwood]
Generated description
Ed Greenwood is a Canadian fantasy author and game designer best known for creating the Dungeons & Dragons campaign setting Forgotten Realms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ed Greenwood Target entity description: Ed Greenwood is a Canadian fantasy author and game designer best known for creating the Dungeons & Dragons campaign setting Forgotten Realms.
-
A.
Terry Brooks
Terry Brooks is a bestselling American fantasy author best known for his long-running Shannara series.
-
B.
A. R. Martin
A. R. Martin is an editor best known for overseeing the influential British Interplanetary Society study volume on the interstellar spacecraft concept Project Daedalus.
-
C.
Carl Wagner
Carl Wagner was a prominent physical chemist and materials scientist known for his foundational work in diffusion, oxidation, and defect chemistry in solids.
-
D.
Joe Abercrombie
Joe Abercrombie is a British fantasy author best known for his gritty, darkly humorous First Law series, which helped popularize the grimdark subgenre.
-
E.
Grant Thompson
Grant Thompson is a screenwriter best known for his work on the inspirational sports drama film "McFarland, USA."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828e9e708190aec0078913bf098a |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf24a9d8819083d7b11d71442da6 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd065cb948190b0ad7e89a12ce535 |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1a52de08190a7b283af83be1f42 |
completed | May 10, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:55 a.m.