Triple
T20134813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autry Court |
E490996
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mrs. James L. Autry |
—
|
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: Mrs. James L. Autry | Statement: [Autry Court, namedAfter, Mrs. James L. Autry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. James L. Autry Context triple: [Autry Court, namedAfter, Mrs. James L. Autry]
-
A.
Mrs. James L. Autry
chosen
Mrs. James L. Autry was a prominent local figure and benefactor in the community whose contributions led to a sports arena, Autry Court, being named in her honor.
-
B.
Mrs. Robert W. Hayler
Mrs. Robert W. Hayler was the woman who ceremonially sponsored the U.S. Navy submarine USS Apogon at its launching.
-
C.
Mrs. Thomas Holcomb
Mrs. Thomas Holcomb was the woman who sponsored and christened the U.S. Navy submarine USS Drum (SS-228) at its launching.
-
D.
Mrs. J. N. Keitt
Mrs. J. N. Keitt was the Florida grower after whom the well-known late-season Keitt mango cultivar was named.
-
E.
Nellie W. Carter
Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66766e46c81908721fd47066dc9f8 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.