Triple
T22265612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tory Burch |
E550342
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Burch |
E980915
|
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: Burch | Statement: [Tory Burch, familyName, Burch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burch Context triple: [Tory Burch, familyName, Burch]
-
A.
Burch
chosen
Burch is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
-
B.
Burcher
Burcher is a small rural locality within the Lachlan Shire region of New South Wales, Australia.
-
C.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
D.
Mycoskie
Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
-
E.
Breen
Breen is a surname of Irish origin borne by various notable individuals across fields such as film censorship, sports, and academia.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bb850881908f5e9c37afb52ca8 |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66dc4a8819099b777e294b87780 |
completed | May 18, 2026, 6:49 a.m. |
Created at: April 16, 2026, 8:39 p.m.