Triple
T7677357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Snow, Inc. |
E173894
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Snow |
E298042
|
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: John Snow | Statement: [John Snow, Inc., namedAfter, John Snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Snow Context triple: [John Snow, Inc., namedAfter, John Snow]
-
A.
John Snow
chosen
John Snow was a 19th-century English physician and pioneer of modern epidemiology, best known for tracing a cholera outbreak in London to a contaminated water pump.
-
B.
Giles
Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
-
C.
Giles
Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
-
D.
Giles
Giles is a masculine given name of medieval origin, commonly used in English-speaking countries.
-
E.
John Salt
John Salt is an Anglican bishop best known for his service as Bishop of St Helena in the South Atlantic.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fbb4788190adf1e2d39be358c1 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a240057081908826a5371ef5215b |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.