Triple
T13745300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwele |
E330195
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gardner |
E39619
|
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: Gardner | Statement: [Dwele, familyName, Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardner Context triple: [Dwele, familyName, Gardner]
-
A.
Gardner
chosen
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
-
B.
Gardner James
Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
-
C.
Gardner Earl
Gardner Earl was an individual significant enough to have the Gardner Earl Memorial Chapel and Crematorium named in his honor, likely reflecting his prominence or contributions to the local community.
-
D.
Gideon Gartner
Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
-
E.
Orson
Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a851f68c81908b24bc5275a58ad3 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.