Triple
T4833465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception architecture |
E107999
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Scott Reed |
E130215
|
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: Scott Reed | Statement: [Inception architecture, introducedBy, Scott Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Reed Context triple: [Inception architecture, introducedBy, Scott Reed]
-
A.
Scott Reed
chosen
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
-
B.
Ryan S. Reed
Ryan S. Reed is an American Anglican bishop who serves as the ecclesiastical leader of the Episcopal Diocese of Fort Worth.
-
C.
Tim Reynolds
Tim Reynolds is a virtuoso guitarist best known for his long-running collaboration with the Dave Matthews Band and his intricate acoustic and electric performances.
-
D.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
-
E.
Michael Pitts
Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cca88d88190a8ad6cf7856bdf69 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9232aa3081908d08c64d71a9e3cf |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:25 p.m.