Triple
T14881861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mountain |
E350019
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Matthew Johnson
Matthew Johnson is a musician best known as a member of the experimental rock band Black Mountain.
|
E1131477
|
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: Matthew Johnson | Statement: [Black Mountain, hasMember, Matthew Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Johnson Context triple: [Black Mountain, hasMember, Matthew Johnson]
-
A.
Matt Johnson
Matt Johnson is a screenwriter best known for his work on the action-thriller film "Into the Blue."
-
B.
Christopher Johnson
Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
C.
Christopher Johnson
Christopher Johnson is the intelligent and resourceful alien "prawn" who leads the effort to escape Earth in the science fiction film District 9.
-
D.
Carl Johnson
Carl Johnson is an American composer best known for his work on animated television series and films, including scoring the acclaimed Disney series "Gargoyles."
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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: Matthew Johnson Triple: [Black Mountain, hasMember, Matthew Johnson]
Generated description
Matthew Johnson is a musician best known as a member of the experimental rock band Black Mountain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Johnson Target entity description: Matthew Johnson is a musician best known as a member of the experimental rock band Black Mountain.
-
A.
Matt Johnson
Matt Johnson is a screenwriter best known for his work on the action-thriller film "Into the Blue."
-
B.
Christopher Johnson
Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
C.
Christopher Johnson
Christopher Johnson is the intelligent and resourceful alien "prawn" who leads the effort to escape Earth in the science fiction film District 9.
-
D.
Carl Johnson
Carl Johnson is an American composer best known for his work on animated television series and films, including scoring the acclaimed Disney series "Gargoyles."
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9687a5888190a6e6ffd781f64edc |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe990b6ab48190b153a912f16c8c8d |
completed | May 9, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 1:56 a.m.