Triple
T16634152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dizzy Flores |
E404154
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Edward Neumeier |
E412072
|
NE FINISHED |
How this triple was built (2 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: Edward Neumeier | Statement: [Dizzy Flores, createdBy, Edward Neumeier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Neumeier Context triple: [Dizzy Flores, createdBy, Edward Neumeier]
-
A.
Edward Neumeier
chosen
Edward Neumeier is an American screenwriter and producer best known for writing the science fiction films RoboCop and Starship Troopers.
-
B.
Michael B. Olbrich
Michael B. Olbrich was an American lawyer and conservationist best known for his role in creating public green spaces in Madison, Wisconsin, including the botanical gardens that bear his name.
-
C.
Bruce Meyer
Bruce Meyer is a Canadian poet, author, and educator known for his prolific output of poetry and literary criticism.
-
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.
Fred Reif
Fred Reif was an influential American physicist and physics educator known for his pioneering work in physics education research and authorship of widely used physics textbooks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e8a76c8190bf08e6f6dec63c50 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc05bd881909c6b2e0d95622aa1 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.