Triple
T16643113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Ewing |
E404394
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ewing |
E109765
|
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: Ewing | Statement: [Maria Ewing, familyName, Ewing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewing Context triple: [Maria Ewing, familyName, Ewing]
-
A.
Ewing
chosen
Ewing is a surname most prominently associated with Hall of Fame basketball player and coach Patrick Ewing.
-
B.
Ewing
Ewing is a township in Mercer County, New Jersey, known as a suburban community that hosts The College of New Jersey and lies near the state capital of Trenton.
-
C.
Easterbrook
Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
-
D.
Egan
Egan is a small town located in Moody County in eastern South Dakota, United States.
-
E.
Egan
Egan is a surname of Irish origin borne by various notable individuals, including the American novelist Jennifer Egan.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bd1b648190b6189533dcd7b9ac |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.