Triple
T9923871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowland Hussey Macy |
E187871
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | R. 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: R. H. Macy | Statement: [Rowland Hussey Macy, name, R. H. Macy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. H. Macy Context triple: [Rowland Hussey Macy, name, R. 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.
Jordan Marsh
Jordan Marsh was a prominent New England-based department store chain that operated for over a century before being absorbed into larger retail brands.
-
D.
Marshall Field
Marshall Field was a prominent American entrepreneur and philanthropist best known as the founder of the Chicago-based Marshall Field and Company department store empire.
-
E.
Wanamaker
Wanamaker is a prominent American surname historically associated with influential merchants, philanthropists, and cultural patrons.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59733188190900426e4e29ae5e3 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e0bdae08190acb94fe7d5471e4b |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:43 p.m.