Triple
T22265611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tory Burch |
E550342
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tory |
E16790
|
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: Tory | Statement: [Tory Burch, givenName, Tory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tory Context triple: [Tory Burch, givenName, Tory]
-
A.
Tory
chosen
Tory refers to a historical British political faction and later party associated with conservatism, monarchy, and traditional institutions, which evolved into the modern Conservative Party.
-
B.
Turnbull
Turnbull is a Scottish-origin surname borne by various notable figures, including Australian politician and former prime minister Malcolm Turnbull.
-
C.
Theresa
Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
-
D.
Torin Thatcher
Torin Thatcher was a British character actor known for his commanding presence and frequent roles as villains in mid-20th-century films, particularly in historical epics and fantasy adventures.
-
E.
The Hayes
The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
- 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_6a0abc9c3a0481909ea2f553501b5f90 |
completed | May 18, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:39 p.m.