Triple
T22550697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Gardner |
E557548
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Edward Gardner |
—
|
NE NERFINISHED |
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: Edward Gardner | Statement: [Edward Gardner, name, Edward Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Gardner Context triple: [Edward Gardner, name, Edward Gardner]
-
A.
Edward Gardner
chosen
Edward Gardner is a renowned British conductor known for leading major orchestras and opera companies, particularly in the UK and Europe.
-
B.
Robert Gardiner
Robert Gardiner was a Ghanaian diplomat and economist best known for his senior leadership roles in the United Nations and African development institutions.
-
C.
Edward Gest
Edward Gest is a relative of the late American producer and television personality David Gest.
-
D.
George Rose
George Rose was a distinguished British actor and character performer known for his acclaimed work on Broadway and in the West End, often in musical theatre and comedic roles.
-
E.
George Rose
George Rose was a British politician and colonial administrator active in the late 18th and early 19th centuries, known for his involvement in imperial and commercial affairs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7546c4819099942c86ca522a60 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.