Triple
T13355455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semple |
E318679
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | David Semple |
E440382
|
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: David Semple | Statement: [Semple, hasNotableBearer, David Semple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Semple Context triple: [Semple, hasNotableBearer, David Semple]
-
A.
David Semple
chosen
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
-
B.
David Geddes
David Geddes is a cinematographer known for his work on the horror-comedy film "Tucker & Dale vs. Evil."
-
C.
Robert Semple
Robert Semple was an early California pioneer, printer, and political leader who played a key role in the transition of California to statehood.
-
D.
Paul Duguid
Paul Duguid is a scholar of information studies and co-author of the influential book "The Social Life of Information" with John Seely Brown.
-
E.
David Cunningham
David Cunningham is a relatively common personal name shared by various notable individuals across fields such as sports, academia, and the arts.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f78e088190a2d241042cfe615f |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:32 p.m.