Triple
T21902680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bowne |
E540848
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Hannah Bickerstaff |
—
|
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: Hannah Bickerstaff | Statement: [John Bowne, spouse, Hannah Bickerstaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Bickerstaff Context triple: [John Bowne, spouse, Hannah Bickerstaff]
-
A.
Hannah Bickerstaff
chosen
Hannah Bickerstaff was the wife of early American Quaker and religious freedom advocate John Bowne of Flushing, New Netherland.
-
B.
Mary Leech
Mary Leech was the wife of Richard Dobbs Spaight, a prominent early American statesman and signer of the U.S. Constitution from North Carolina.
-
C.
Hannah Foster
Hannah Foster is a notable individual recognized for her association with the surname Foster, though specific widely known biographical details about her are limited.
-
D.
Harriet Davies
Harriet Davies is an actress known for her role in the British thriller web series "Girl Number 9."
-
E.
Hettie
Hettie is a feminine given name, commonly used as a diminutive or nickname for Heather and similar names.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d2d63c819090e115708aa4dbf8 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:24 p.m.