Triple
T18510649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instrument of Government of 1653 |
E452333
|
entity |
| Predicate | authorAttributedTo |
P58465
|
FINISHED |
| Object | John Lambert |
—
|
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: John Lambert | Statement: [Instrument of Government of 1653, authorAttributedTo, John Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Lambert Context triple: [Instrument of Government of 1653, authorAttributedTo, John Lambert]
-
A.
John Lambert
chosen
John Lambert was a prominent Parliamentarian general and political figure during the English Civil Wars, noted for his military skill and later role in the republican government.
-
B.
John Lambert
John Lambert was a British Army general of the Napoleonic era, noted for leading British forces in the aftermath of the failed assault at the Battle of New Orleans.
-
C.
Scott Lambert
Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
-
D.
Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
-
E.
Scott Lambert
Scott Lambert is a film producer known for his work on the drama film "North Country."
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533457e608190988304bf8bc2db1c |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.