Triple
T8963409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Gardner |
E214064
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object |
Doug Gardner
Doug Gardner is a fictional character known as the father of Samuel Gardner in the Netflix series "Atypical."
|
E770093
|
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: Doug Gardner | Statement: [Samuel Gardner, hasFather, Doug Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Gardner Context triple: [Samuel Gardner, hasFather, Doug Gardner]
-
A.
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.
-
B.
Alex Gartner
Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
-
C.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
D.
Michael Giles
Michael Giles is an English drummer and founding member of the progressive rock band King Crimson, known for his innovative and influential playing style.
-
E.
Todd R. Jones
Todd R. Jones is a writer known for his work on the animated film "Rio."
- 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: Doug Gardner Triple: [Samuel Gardner, hasFather, Doug Gardner]
Generated description
Doug Gardner is a fictional character known as the father of Samuel Gardner in the Netflix series "Atypical."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Gardner Target entity description: Doug Gardner is a fictional character known as the father of Samuel Gardner in the Netflix series "Atypical."
-
A.
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.
-
B.
Alex Gartner
Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
-
C.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
D.
Michael Giles
Michael Giles is an English drummer and founding member of the progressive rock band King Crimson, known for his innovative and influential playing style.
-
E.
Todd R. Jones
Todd R. Jones is a writer known for his work on the animated film "Rio."
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc674b06f08190b2d992674a093592 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9512eec8190963aa68108691f7f |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb178d488190ab8ea897f964c10a |
completed | April 3, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcc1bb3248190ac94ed37be2dcde4 |
completed | April 3, 2026, 2:18 p.m. |
Created at: March 30, 2026, 7:01 p.m.