Triple
T14258591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Middle |
E353450
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Atticus Shaffer |
E285267
|
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: Atticus Shaffer | Statement: [The Middle, portrayedBy, Atticus Shaffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atticus Shaffer Context triple: [The Middle, portrayedBy, Atticus Shaffer]
-
A.
Atticus Shaffer
chosen
Atticus Shaffer is an American actor best known for his role as Brick Heck on the sitcom "The Middle" and for his distinctive voice work in animated films and series.
-
B.
Louis Davenport
Louis Davenport was a prominent early 20th-century hotelier and businessman best known for founding and developing the luxury Davenport Hotel in Spokane, Washington.
-
C.
John Forsyth
John Forsyth was a 19th-century American politician and statesman who served as U.S. Secretary of State, governor of Georgia, and a prominent member of Congress.
-
D.
George Hackathorne
George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
-
E.
Jack Gladney
Jack Gladney is the middle-aged, anxiety-ridden professor who founded the academic field of Hitler studies and narrates Don DeLillo’s novel "White Noise."
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6352611c819090d062fe3079cd03 |
completed | April 14, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3260fdf88190b482480a17bd6674 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.