Triple
T13283840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atypical |
E316388
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Doug Gardner |
E770093
|
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: Doug Gardner | Statement: [Atypical, character, Doug Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Gardner Context triple: [Atypical, character, Doug Gardner]
-
A.
Doug Gardner
chosen
Doug Gardner is a fictional character known as the father of Samuel Gardner in the Netflix series "Atypical."
-
B.
Dave Gardner
Dave Gardner is a British sports agent and businessman known for his high-profile connections in the football world and relationships with celebrities.
-
C.
Dave Gardner
Dave Gardner is the son of Sailor Gene Gardner and a member of the Gardner family.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Alex Gartner
Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99047531c819087aa6406de1ddc82 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f20d7188190bb8643a7e17aba5c |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:27 p.m.