Triple
T2854198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Sears |
E63161
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ted Sears |
E63161
|
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: Ted Sears | Statement: [Ted Sears, name, Ted Sears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Sears Context triple: [Ted Sears, name, Ted Sears]
-
A.
Ted Sears
chosen
Ted Sears was an American screenwriter and story artist best known for his pioneering work on numerous classic Walt Disney animated films.
-
B.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
C.
Ned Ryerson
Ned Ryerson is the overly enthusiastic insurance salesman and former classmate who repeatedly accosts Phil Connors in the film "Groundhog Day."
-
D.
Sam O'Steen
Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
-
E.
Ted Barrett
Ted Barrett is a veteran Major League Baseball umpire known for working numerous postseason games and serving as a crew chief in multiple World Series.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5f21348190a574fa86bc71c76f |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d8774cc8190aa6ed40b26c4a568 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:02 p.m.