Triple
T23235975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Lake |
E581293
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Elizabeth Barker |
—
|
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: Elizabeth Barker | Statement: [Gerard Lake, spouse, Elizabeth Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Barker Context triple: [Gerard Lake, spouse, Elizabeth Barker]
-
A.
Elizabeth Barker
Elizabeth Barker was the wife of Mayflower passenger and early Plymouth Colony leader Edward Winslow, making her part of the first generation of English settlers in New England.
-
B.
Elizabeth Barker
chosen
Elizabeth Barker was the wife of British Army officer and colonial commander Lord Lake, 1st Viscount Lake.
-
C.
Susannah Harker
Susannah Harker is a British actress best known for her television work in period dramas and series such as "House of Cards" and "Pride and Prejudice."
-
D.
Petronella Barker
Petronella Barker is a British actress best known for her work in film and television during the 1960s and 1970s.
-
E.
Charlotte Blackwood
Charlotte Blackwood, often called "Charlie," is a fictional civilian flight instructor and love interest of Maverick in the 1986 film *Top Gun*.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e98dec8190a23385600bed9ae0 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.