Triple
T14710564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyer |
E345534
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bruce Meyer
Bruce Meyer is a Canadian poet, author, and educator known for his prolific output of poetry and literary criticism.
|
E1131321
|
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: Bruce Meyer | Statement: [Meyer, hasNotableBearer, Bruce Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Meyer Context triple: [Meyer, hasNotableBearer, Bruce Meyer]
-
A.
Ray Meyer
Ray Meyer was a Hall of Fame college basketball coach best known for transforming DePaul University into a national powerhouse during his long tenure.
-
B.
Edward Neumeier
Edward Neumeier is an American screenwriter and producer best known for writing the science fiction films RoboCop and Starship Troopers.
-
C.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
D.
Richard C. Meyer
Richard C. Meyer was a film editor known for his work on mid-20th-century American movies, including Westerns and genre films.
-
E.
Joe Rohde
Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
- 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: Bruce Meyer Triple: [Meyer, hasNotableBearer, Bruce Meyer]
Generated description
Bruce Meyer is a Canadian poet, author, and educator known for his prolific output of poetry and literary criticism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruce Meyer Target entity description: Bruce Meyer is a Canadian poet, author, and educator known for his prolific output of poetry and literary criticism.
-
A.
Ray Meyer
Ray Meyer was a Hall of Fame college basketball coach best known for transforming DePaul University into a national powerhouse during his long tenure.
-
B.
Edward Neumeier
Edward Neumeier is an American screenwriter and producer best known for writing the science fiction films RoboCop and Starship Troopers.
-
C.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
D.
Richard C. Meyer
Richard C. Meyer was a film editor known for his work on mid-20th-century American movies, including Westerns and genre films.
-
E.
Joe Rohde
Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968124d481909dd89dd9282788b7 |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe97c0a3688190a9f55376a1d7ad87 |
completed | May 9, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe985cec608190888733cdc5bd71ea |
completed | May 9, 2026, 2:13 a.m. |
Created at: April 10, 2026, 1:28 a.m.