Triple
T8608383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Butler |
E203860
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | John |
unclear NED1
|
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 | Statement: [John Butler, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Butler, givenName, John]
-
A.
John
John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
-
B.
John
John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
-
C.
John
John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
-
D.
John
John is the given first name of J. Presper Eckert, the American electrical engineer and co-inventor of the ENIAC computer.
-
E.
John
John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ec301881908ce148a3f07069fe |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea88464b88190983e22e70bf38e63 |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:25 p.m.