Triple
T4997153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacon Academy |
E112275
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Rowland H. Macy |
E35839
|
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: Rowland H. Macy | Statement: [Bacon Academy, hasAlumnus, Rowland H. Macy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowland H. Macy Context triple: [Bacon Academy, hasAlumnus, Rowland H. Macy]
-
A.
R. H. Macy
chosen
R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
-
B.
John Wanamaker
John Wanamaker was a pioneering American merchant and founder of one of the first department stores in the United States, who also served as U.S. Postmaster General.
-
C.
J. C. Stearns
J. C. Stearns was one of the contributing authors to the influential Franck Report on the implications of nuclear weapons during the Manhattan Project era.
-
D.
Henri Bendel
Henri Bendel was a historic New York City–based luxury specialty retailer known for its fashionable handbags, accessories, and signature brown-and-white striped branding.
-
E.
Joseph B. Bloomingdale
Joseph B. Bloomingdale was an American businessman best known as a co-founder of the Bloomingdale's department store.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72a130708190b9bc1393ba78bfb1 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a3489f08190a338de8d8be09813 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.