Triple
T22841147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Donna Reed Show |
E566082
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jeff Stone |
—
|
NE NERFINISHED |
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: Jeff Stone | Statement: [The Donna Reed Show, character, Jeff Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Stone Context triple: [The Donna Reed Show, character, Jeff Stone]
-
A.
Jeff Stone
chosen
Jeff Stone is the teenage son in the classic American sitcom "The Donna Reed Show," known for his wholesome, all-American boy persona.
-
B.
Fred Stone
Fred Stone was an American stage and film actor, dancer, and vaudevillian best known for his comedic roles in early 20th-century Broadway productions.
-
C.
Jon Stone
Jon Stone was an American television producer, director, and writer best known as a key creative force behind the development and early success of the children's program "Sesame Street."
-
D.
Eric Stone
Eric Stone is the sadistic high-school student who serves as the primary torturer and villain in the Australian horror film "The Loved Ones."
-
E.
Tom Stone
Tom Stone is an American soccer coach best known for his work in women’s soccer, including collegiate and professional teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.