Triple
T19455069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demogorgon (Dungeons & Dragons) |
E486713
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
Brian Blume
Brian Blume was an early game designer and executive at TSR who played a key role in the development and expansion of Dungeons & Dragons.
|
E1428568
|
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: Brian Blume | Statement: [Demogorgon (Dungeons & Dragons), createdBy, Brian Blume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Blume Context triple: [Demogorgon (Dungeons & Dragons), createdBy, Brian Blume]
-
A.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
D.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
E.
Jeff T. Blau
Jeff T. Blau is an American real estate executive best known as the longtime CEO of The Related Companies, a major global real estate development firm behind projects like Hudson Yards in New York City.
- 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: Brian Blume Triple: [Demogorgon (Dungeons & Dragons), createdBy, Brian Blume]
Generated description
Brian Blume was an early game designer and executive at TSR who played a key role in the development and expansion of Dungeons & Dragons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Blume Target entity description: Brian Blume was an early game designer and executive at TSR who played a key role in the development and expansion of Dungeons & Dragons.
-
A.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Don Blum
Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
-
D.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
E.
Jeff T. Blau
Jeff T. Blau is an American real estate executive best known as the longtime CEO of The Related Companies, a major global real estate development firm behind projects like Hudson Yards in New York City.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c2b1108190b492ca23487b91f8 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0875fdccac819092279075a0ba3a4c |
completed | May 16, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a087754af1481909a8ffa042aad2f42 |
completed | May 16, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877dcf9548190bd42db7a54aea824 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:38 p.m.