Triple
T13065424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Yeller |
E329308
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Fred Gipson |
E329308
|
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: Fred Gipson | Statement: [Old Yeller, author, Fred Gipson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Gipson Context triple: [Old Yeller, author, Fred Gipson]
-
A.
Fred Gipson
chosen
Fred Gipson was an American author best known for writing the classic children's novel "Old Yeller," which was later adapted into a popular Disney film.
-
B.
E. Gordon Gee
E. Gordon Gee is a longtime American university administrator best known for serving multiple terms as president of several major institutions, including West Virginia University, Ohio State University, and Vanderbilt University.
-
C.
R. G. Tifft
R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
-
D.
Erle C. Kenton
Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
-
E.
G. B. Royse
G. B. Royse was an early settler and influential local figure after whom the city of Royse City, Texas, was named.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.