Triple
T8963395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Gardner |
E214064
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Samuel Gardner
Samuel Gardner is a fictional teenager on the autism spectrum and the main protagonist of the Netflix series "Atypical."
|
E214064
|
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: Samuel Gardner | Statement: [Samuel Gardner, fullName, Samuel Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Gardner Context triple: [Samuel Gardner, fullName, Samuel Gardner]
-
A.
Samuel Gardner
Samuel Gardner is a fictional teenage protagonist on the autism spectrum from the Netflix series "Atypical."
-
B.
Samuel Dracott
Samuel Dracott is an individual whose name appears in records with the variant spelling "Samuel Dracutt."
-
C.
Samuel Spencer
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
D.
Samuel Spencer
Samuel Spencer was a prominent North Carolina jurist and Revolutionary-era political leader known for his influential Anti-Federalist stance during debates over the U.S. Constitution.
-
E.
Samuel Lester
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
- 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: Samuel Gardner Triple: [Samuel Gardner, fullName, Samuel Gardner]
Generated description
Samuel Gardner is a fictional teenager on the autism spectrum and the main protagonist of the Netflix series "Atypical."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Gardner Target entity description: Samuel Gardner is a fictional teenager on the autism spectrum and the main protagonist of the Netflix series "Atypical."
-
A.
Samuel Gardner
chosen
Samuel Gardner is a fictional teenage protagonist on the autism spectrum from the Netflix series "Atypical."
-
B.
Samuel Dracott
Samuel Dracott is an individual whose name appears in records with the variant spelling "Samuel Dracutt."
-
C.
Samuel Spencer
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
D.
Samuel Spencer
Samuel Spencer was a prominent North Carolina jurist and Revolutionary-era political leader known for his influential Anti-Federalist stance during debates over the U.S. Constitution.
-
E.
Samuel Lester
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
- F. None of above.
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.